114 AI Tools Prompt Engineering jobs in the United States
AI Model Specialist
60684 Chicago, Illinois
U.S. Bank
Posted 1 day ago
Job Viewed
Job Description
At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.
**Job Description**
**About the position**
As a Business Risk Portfolio Manager enabling the AI Center of Excellence (CoE) at U.S. Bank, you will collaborate with various teams to manage risks associated with AI products and ensure effective risk management frameworks are in place. This role focuses on identifying and mitigating risks within assigned portfolios while enhancing customer experiences and operational effectiveness. The position requires a strong background in model risk management, particularly involving AI/ML, and involves working closely with senior leaders and compliance teams to oversee the implementation of risk controls and processes.
This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models are those used across the Enterprise in functions ranging from pricing to business operations including internally developed or purchased from third parties. The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses.
The ideal candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key stakeholders across the bank
**Responsibilities**
+ Review and maintain business line model inventories ensuring appropriate controls and monitoring are in place for risk mitigation.
+ Oversee the creation, implementation, and maintenance of an effective AI risk management framework.
+ Consult on critical business processes and controls within the AI process hierarchy.
+ Assist with compliance projects and activities related to federal, state, and local regulations.
+ Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns
+ Review and assess model risks and controls as well as provide recommendation for remediating actions
+ Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence
+ Contribute to and coordinate with functional partners to ensure a holistic view of AI risks
+ Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed, from a 1st Line of Defense perspective
+ Quantitatively assess fairness for select AI models through independent analyses
+ Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations
+ Partner with AI product, design, operations, and technology teams to deliver impactful results.
+ Identify existing and emerging risks in collaboration with business and risk partners.
+ Estimation Method Questionnaire and Assessment: Support the completion of estimation method questionnaires and assessments to validate model assumptions, methodologies, and performance.
+ Liaison: Act as a liaison between the business and Model Risk Management teams, ensuring clear communication and alignment on model-related issues and requirements.
**Basic Qualifications**
+ Bachelor's degree, or equivalent work experience
+ 10 or more years of applicable experience
+ Applicable professional certifications
**Preferred Skills/Qualifications**
+ Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science)
+ Expert knowledge of Risk/Compliance/Audit competencies.
+ Strong understanding of AI/ML product development processes and model risk management.
+ Excellent communication skills for technical discussions and business presentations.
+ Advanced knowledge of applicable AI/ML laws and emerging risks.
+ More than 10 years of experience in Financial Services Risk Management and/or Compliance, particularly in Digital, AI/ML environments.
+ Agile thinking with the ability to adapt to changing risk and control expectations.
+ Strong collaboration skills with a history of successful project outcomes.
+ Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business
+ Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each
+ Experience with a variety of model development and deployment platforms
_**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**_
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**
**Job Description**
**About the position**
As a Business Risk Portfolio Manager enabling the AI Center of Excellence (CoE) at U.S. Bank, you will collaborate with various teams to manage risks associated with AI products and ensure effective risk management frameworks are in place. This role focuses on identifying and mitigating risks within assigned portfolios while enhancing customer experiences and operational effectiveness. The position requires a strong background in model risk management, particularly involving AI/ML, and involves working closely with senior leaders and compliance teams to oversee the implementation of risk controls and processes.
This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models are those used across the Enterprise in functions ranging from pricing to business operations including internally developed or purchased from third parties. The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses.
The ideal candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key stakeholders across the bank
**Responsibilities**
+ Review and maintain business line model inventories ensuring appropriate controls and monitoring are in place for risk mitigation.
+ Oversee the creation, implementation, and maintenance of an effective AI risk management framework.
+ Consult on critical business processes and controls within the AI process hierarchy.
+ Assist with compliance projects and activities related to federal, state, and local regulations.
+ Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns
+ Review and assess model risks and controls as well as provide recommendation for remediating actions
+ Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence
+ Contribute to and coordinate with functional partners to ensure a holistic view of AI risks
+ Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed, from a 1st Line of Defense perspective
+ Quantitatively assess fairness for select AI models through independent analyses
+ Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations
+ Partner with AI product, design, operations, and technology teams to deliver impactful results.
+ Identify existing and emerging risks in collaboration with business and risk partners.
+ Estimation Method Questionnaire and Assessment: Support the completion of estimation method questionnaires and assessments to validate model assumptions, methodologies, and performance.
+ Liaison: Act as a liaison between the business and Model Risk Management teams, ensuring clear communication and alignment on model-related issues and requirements.
**Basic Qualifications**
+ Bachelor's degree, or equivalent work experience
+ 10 or more years of applicable experience
+ Applicable professional certifications
**Preferred Skills/Qualifications**
+ Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science)
+ Expert knowledge of Risk/Compliance/Audit competencies.
+ Strong understanding of AI/ML product development processes and model risk management.
+ Excellent communication skills for technical discussions and business presentations.
+ Advanced knowledge of applicable AI/ML laws and emerging risks.
+ More than 10 years of experience in Financial Services Risk Management and/or Compliance, particularly in Digital, AI/ML environments.
+ Agile thinking with the ability to adapt to changing risk and control expectations.
+ Strong collaboration skills with a history of successful project outcomes.
+ Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business
+ Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each
+ Experience with a variety of model development and deployment platforms
_**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**_
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**
View Now
0
AI Model Specialist
94103, California
U.S. Bank
Posted 1 day ago
Job Viewed
Job Description
At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.
**Job Description**
**About the position**
As a Business Risk Portfolio Manager enabling the AI Center of Excellence (CoE) at U.S. Bank, you will collaborate with various teams to manage risks associated with AI products and ensure effective risk management frameworks are in place. This role focuses on identifying and mitigating risks within assigned portfolios while enhancing customer experiences and operational effectiveness. The position requires a strong background in model risk management, particularly involving AI/ML, and involves working closely with senior leaders and compliance teams to oversee the implementation of risk controls and processes.
This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models are those used across the Enterprise in functions ranging from pricing to business operations including internally developed or purchased from third parties. The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses.
The ideal candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key stakeholders across the bank
**Responsibilities**
+ Review and maintain business line model inventories ensuring appropriate controls and monitoring are in place for risk mitigation.
+ Oversee the creation, implementation, and maintenance of an effective AI risk management framework.
+ Consult on critical business processes and controls within the AI process hierarchy.
+ Assist with compliance projects and activities related to federal, state, and local regulations.
+ Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns
+ Review and assess model risks and controls as well as provide recommendation for remediating actions
+ Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence
+ Contribute to and coordinate with functional partners to ensure a holistic view of AI risks
+ Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed, from a 1st Line of Defense perspective
+ Quantitatively assess fairness for select AI models through independent analyses
+ Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations
+ Partner with AI product, design, operations, and technology teams to deliver impactful results.
+ Identify existing and emerging risks in collaboration with business and risk partners.
+ Estimation Method Questionnaire and Assessment: Support the completion of estimation method questionnaires and assessments to validate model assumptions, methodologies, and performance.
+ Liaison: Act as a liaison between the business and Model Risk Management teams, ensuring clear communication and alignment on model-related issues and requirements.
**Basic Qualifications**
+ Bachelor's degree, or equivalent work experience
+ 10 or more years of applicable experience
+ Applicable professional certifications
**Preferred Skills/Qualifications**
+ Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science)
+ Expert knowledge of Risk/Compliance/Audit competencies.
+ Strong understanding of AI/ML product development processes and model risk management.
+ Excellent communication skills for technical discussions and business presentations.
+ Advanced knowledge of applicable AI/ML laws and emerging risks.
+ More than 10 years of experience in Financial Services Risk Management and/or Compliance, particularly in Digital, AI/ML environments.
+ Agile thinking with the ability to adapt to changing risk and control expectations.
+ Strong collaboration skills with a history of successful project outcomes.
+ Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business
+ Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each
+ Experience with a variety of model development and deployment platforms
_**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**_
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**
**Job Description**
**About the position**
As a Business Risk Portfolio Manager enabling the AI Center of Excellence (CoE) at U.S. Bank, you will collaborate with various teams to manage risks associated with AI products and ensure effective risk management frameworks are in place. This role focuses on identifying and mitigating risks within assigned portfolios while enhancing customer experiences and operational effectiveness. The position requires a strong background in model risk management, particularly involving AI/ML, and involves working closely with senior leaders and compliance teams to oversee the implementation of risk controls and processes.
This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models are those used across the Enterprise in functions ranging from pricing to business operations including internally developed or purchased from third parties. The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses.
The ideal candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key stakeholders across the bank
**Responsibilities**
+ Review and maintain business line model inventories ensuring appropriate controls and monitoring are in place for risk mitigation.
+ Oversee the creation, implementation, and maintenance of an effective AI risk management framework.
+ Consult on critical business processes and controls within the AI process hierarchy.
+ Assist with compliance projects and activities related to federal, state, and local regulations.
+ Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns
+ Review and assess model risks and controls as well as provide recommendation for remediating actions
+ Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence
+ Contribute to and coordinate with functional partners to ensure a holistic view of AI risks
+ Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed, from a 1st Line of Defense perspective
+ Quantitatively assess fairness for select AI models through independent analyses
+ Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations
+ Partner with AI product, design, operations, and technology teams to deliver impactful results.
+ Identify existing and emerging risks in collaboration with business and risk partners.
+ Estimation Method Questionnaire and Assessment: Support the completion of estimation method questionnaires and assessments to validate model assumptions, methodologies, and performance.
+ Liaison: Act as a liaison between the business and Model Risk Management teams, ensuring clear communication and alignment on model-related issues and requirements.
**Basic Qualifications**
+ Bachelor's degree, or equivalent work experience
+ 10 or more years of applicable experience
+ Applicable professional certifications
**Preferred Skills/Qualifications**
+ Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science)
+ Expert knowledge of Risk/Compliance/Audit competencies.
+ Strong understanding of AI/ML product development processes and model risk management.
+ Excellent communication skills for technical discussions and business presentations.
+ Advanced knowledge of applicable AI/ML laws and emerging risks.
+ More than 10 years of experience in Financial Services Risk Management and/or Compliance, particularly in Digital, AI/ML environments.
+ Agile thinking with the ability to adapt to changing risk and control expectations.
+ Strong collaboration skills with a history of successful project outcomes.
+ Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business
+ Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each
+ Experience with a variety of model development and deployment platforms
_**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**_
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**
View Now
1
AI Model Specialist
30309 Midtown Atlanta, Georgia
U.S. Bank
Posted 1 day ago
Job Viewed
Job Description
At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.
**Job Description**
**About the position**
As a Business Risk Portfolio Manager enabling the AI Center of Excellence (CoE) at U.S. Bank, you will collaborate with various teams to manage risks associated with AI products and ensure effective risk management frameworks are in place. This role focuses on identifying and mitigating risks within assigned portfolios while enhancing customer experiences and operational effectiveness. The position requires a strong background in model risk management, particularly involving AI/ML, and involves working closely with senior leaders and compliance teams to oversee the implementation of risk controls and processes.
This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models are those used across the Enterprise in functions ranging from pricing to business operations including internally developed or purchased from third parties. The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses.
The ideal candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key stakeholders across the bank
**Responsibilities**
+ Review and maintain business line model inventories ensuring appropriate controls and monitoring are in place for risk mitigation.
+ Oversee the creation, implementation, and maintenance of an effective AI risk management framework.
+ Consult on critical business processes and controls within the AI process hierarchy.
+ Assist with compliance projects and activities related to federal, state, and local regulations.
+ Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns
+ Review and assess model risks and controls as well as provide recommendation for remediating actions
+ Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence
+ Contribute to and coordinate with functional partners to ensure a holistic view of AI risks
+ Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed, from a 1st Line of Defense perspective
+ Quantitatively assess fairness for select AI models through independent analyses
+ Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations
+ Partner with AI product, design, operations, and technology teams to deliver impactful results.
+ Identify existing and emerging risks in collaboration with business and risk partners.
+ Estimation Method Questionnaire and Assessment: Support the completion of estimation method questionnaires and assessments to validate model assumptions, methodologies, and performance.
+ Liaison: Act as a liaison between the business and Model Risk Management teams, ensuring clear communication and alignment on model-related issues and requirements.
**Basic Qualifications**
+ Bachelor's degree, or equivalent work experience
+ 10 or more years of applicable experience
+ Applicable professional certifications
**Preferred Skills/Qualifications**
+ Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science)
+ Expert knowledge of Risk/Compliance/Audit competencies.
+ Strong understanding of AI/ML product development processes and model risk management.
+ Excellent communication skills for technical discussions and business presentations.
+ Advanced knowledge of applicable AI/ML laws and emerging risks.
+ More than 10 years of experience in Financial Services Risk Management and/or Compliance, particularly in Digital, AI/ML environments.
+ Agile thinking with the ability to adapt to changing risk and control expectations.
+ Strong collaboration skills with a history of successful project outcomes.
+ Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business
+ Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each
+ Experience with a variety of model development and deployment platforms
_**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**_
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**
**Job Description**
**About the position**
As a Business Risk Portfolio Manager enabling the AI Center of Excellence (CoE) at U.S. Bank, you will collaborate with various teams to manage risks associated with AI products and ensure effective risk management frameworks are in place. This role focuses on identifying and mitigating risks within assigned portfolios while enhancing customer experiences and operational effectiveness. The position requires a strong background in model risk management, particularly involving AI/ML, and involves working closely with senior leaders and compliance teams to oversee the implementation of risk controls and processes.
This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models are those used across the Enterprise in functions ranging from pricing to business operations including internally developed or purchased from third parties. The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses.
The ideal candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key stakeholders across the bank
**Responsibilities**
+ Review and maintain business line model inventories ensuring appropriate controls and monitoring are in place for risk mitigation.
+ Oversee the creation, implementation, and maintenance of an effective AI risk management framework.
+ Consult on critical business processes and controls within the AI process hierarchy.
+ Assist with compliance projects and activities related to federal, state, and local regulations.
+ Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns
+ Review and assess model risks and controls as well as provide recommendation for remediating actions
+ Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence
+ Contribute to and coordinate with functional partners to ensure a holistic view of AI risks
+ Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed, from a 1st Line of Defense perspective
+ Quantitatively assess fairness for select AI models through independent analyses
+ Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations
+ Partner with AI product, design, operations, and technology teams to deliver impactful results.
+ Identify existing and emerging risks in collaboration with business and risk partners.
+ Estimation Method Questionnaire and Assessment: Support the completion of estimation method questionnaires and assessments to validate model assumptions, methodologies, and performance.
+ Liaison: Act as a liaison between the business and Model Risk Management teams, ensuring clear communication and alignment on model-related issues and requirements.
**Basic Qualifications**
+ Bachelor's degree, or equivalent work experience
+ 10 or more years of applicable experience
+ Applicable professional certifications
**Preferred Skills/Qualifications**
+ Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science)
+ Expert knowledge of Risk/Compliance/Audit competencies.
+ Strong understanding of AI/ML product development processes and model risk management.
+ Excellent communication skills for technical discussions and business presentations.
+ Advanced knowledge of applicable AI/ML laws and emerging risks.
+ More than 10 years of experience in Financial Services Risk Management and/or Compliance, particularly in Digital, AI/ML environments.
+ Agile thinking with the ability to adapt to changing risk and control expectations.
+ Strong collaboration skills with a history of successful project outcomes.
+ Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business
+ Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each
+ Experience with a variety of model development and deployment platforms
_**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**_
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**
View Now
2
AI Model Specialist
55405 Saint Paul, Minnesota
U.S. Bank
Posted 5 days ago
Job Viewed
Job Description
At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.
**Job Description**
**About the position**
As a Business Risk Portfolio Manager enabling the AI Center of Excellence (CoE) at U.S. Bank, you will collaborate with various teams to manage risks associated with AI products and ensure effective risk management frameworks are in place. This role focuses on identifying and mitigating risks within assigned portfolios while enhancing customer experiences and operational effectiveness. The position requires a strong background in model risk management, particularly involving AI/ML, and involves working closely with senior leaders and compliance teams to oversee the implementation of risk controls and processes.
This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models are those used across the Enterprise in functions ranging from pricing to business operations including internally developed or purchased from third parties. The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses.
The ideal candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key stakeholders across the bank
**Responsibilities**
+ Review and maintain business line model inventories ensuring appropriate controls and monitoring are in place for risk mitigation.
+ Oversee the creation, implementation, and maintenance of an effective AI risk management framework.
+ Consult on critical business processes and controls within the AI process hierarchy.
+ Assist with compliance projects and activities related to federal, state, and local regulations.
+ Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns
+ Review and assess model risks and controls as well as provide recommendation for remediating actions
+ Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence
+ Contribute to and coordinate with functional partners to ensure a holistic view of AI risks
+ Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed, from a 1st Line of Defense perspective
+ Quantitatively assess fairness for select AI models through independent analyses
+ Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations
+ Partner with AI product, design, operations, and technology teams to deliver impactful results.
+ Identify existing and emerging risks in collaboration with business and risk partners.
+ Estimation Method Questionnaire and Assessment: Support the completion of estimation method questionnaires and assessments to validate model assumptions, methodologies, and performance.
+ Liaison: Act as a liaison between the business and Model Risk Management teams, ensuring clear communication and alignment on model-related issues and requirements.
**Basic Qualifications**
+ Bachelor's degree, or equivalent work experience
+ 10 or more years of applicable experience
+ Applicable professional certifications
**Preferred Skills/Qualifications**
+ Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science)
+ Expert knowledge of Risk/Compliance/Audit competencies.
+ Strong understanding of AI/ML product development processes and model risk management.
+ Excellent communication skills for technical discussions and business presentations.
+ Advanced knowledge of applicable AI/ML laws and emerging risks.
+ More than 10 years of experience in Financial Services Risk Management and/or Compliance, particularly in Digital, AI/ML environments.
+ Agile thinking with the ability to adapt to changing risk and control expectations.
+ Strong collaboration skills with a history of successful project outcomes.
+ Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business
+ Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each
+ Experience with a variety of model development and deployment platforms
_**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**_
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**
**Job Description**
**About the position**
As a Business Risk Portfolio Manager enabling the AI Center of Excellence (CoE) at U.S. Bank, you will collaborate with various teams to manage risks associated with AI products and ensure effective risk management frameworks are in place. This role focuses on identifying and mitigating risks within assigned portfolios while enhancing customer experiences and operational effectiveness. The position requires a strong background in model risk management, particularly involving AI/ML, and involves working closely with senior leaders and compliance teams to oversee the implementation of risk controls and processes.
This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models are those used across the Enterprise in functions ranging from pricing to business operations including internally developed or purchased from third parties. The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses.
The ideal candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key stakeholders across the bank
**Responsibilities**
+ Review and maintain business line model inventories ensuring appropriate controls and monitoring are in place for risk mitigation.
+ Oversee the creation, implementation, and maintenance of an effective AI risk management framework.
+ Consult on critical business processes and controls within the AI process hierarchy.
+ Assist with compliance projects and activities related to federal, state, and local regulations.
+ Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns
+ Review and assess model risks and controls as well as provide recommendation for remediating actions
+ Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence
+ Contribute to and coordinate with functional partners to ensure a holistic view of AI risks
+ Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed, from a 1st Line of Defense perspective
+ Quantitatively assess fairness for select AI models through independent analyses
+ Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations
+ Partner with AI product, design, operations, and technology teams to deliver impactful results.
+ Identify existing and emerging risks in collaboration with business and risk partners.
+ Estimation Method Questionnaire and Assessment: Support the completion of estimation method questionnaires and assessments to validate model assumptions, methodologies, and performance.
+ Liaison: Act as a liaison between the business and Model Risk Management teams, ensuring clear communication and alignment on model-related issues and requirements.
**Basic Qualifications**
+ Bachelor's degree, or equivalent work experience
+ 10 or more years of applicable experience
+ Applicable professional certifications
**Preferred Skills/Qualifications**
+ Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science)
+ Expert knowledge of Risk/Compliance/Audit competencies.
+ Strong understanding of AI/ML product development processes and model risk management.
+ Excellent communication skills for technical discussions and business presentations.
+ Advanced knowledge of applicable AI/ML laws and emerging risks.
+ More than 10 years of experience in Financial Services Risk Management and/or Compliance, particularly in Digital, AI/ML environments.
+ Agile thinking with the ability to adapt to changing risk and control expectations.
+ Strong collaboration skills with a history of successful project outcomes.
+ Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business
+ Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each
+ Experience with a variety of model development and deployment platforms
_**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**_
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**
View Now
3
AI Model Specialist
75062 Irving, Texas
U.S. Bank
Posted 5 days ago
Job Viewed
Job Description
At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.
**Job Description**
**About the position**
As a Business Risk Portfolio Manager enabling the AI Center of Excellence (CoE) at U.S. Bank, you will collaborate with various teams to manage risks associated with AI products and ensure effective risk management frameworks are in place. This role focuses on identifying and mitigating risks within assigned portfolios while enhancing customer experiences and operational effectiveness. The position requires a strong background in model risk management, particularly involving AI/ML, and involves working closely with senior leaders and compliance teams to oversee the implementation of risk controls and processes.
This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models are those used across the Enterprise in functions ranging from pricing to business operations including internally developed or purchased from third parties. The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses.
The ideal candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key stakeholders across the bank
**Responsibilities**
+ Review and maintain business line model inventories ensuring appropriate controls and monitoring are in place for risk mitigation.
+ Oversee the creation, implementation, and maintenance of an effective AI risk management framework.
+ Consult on critical business processes and controls within the AI process hierarchy.
+ Assist with compliance projects and activities related to federal, state, and local regulations.
+ Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns
+ Review and assess model risks and controls as well as provide recommendation for remediating actions
+ Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence
+ Contribute to and coordinate with functional partners to ensure a holistic view of AI risks
+ Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed, from a 1st Line of Defense perspective
+ Quantitatively assess fairness for select AI models through independent analyses
+ Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations
+ Partner with AI product, design, operations, and technology teams to deliver impactful results.
+ Identify existing and emerging risks in collaboration with business and risk partners.
+ Estimation Method Questionnaire and Assessment: Support the completion of estimation method questionnaires and assessments to validate model assumptions, methodologies, and performance.
+ Liaison: Act as a liaison between the business and Model Risk Management teams, ensuring clear communication and alignment on model-related issues and requirements.
**Basic Qualifications**
+ Bachelor's degree, or equivalent work experience
+ 10 or more years of applicable experience
+ Applicable professional certifications
**Preferred Skills/Qualifications**
+ Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science)
+ Expert knowledge of Risk/Compliance/Audit competencies.
+ Strong understanding of AI/ML product development processes and model risk management.
+ Excellent communication skills for technical discussions and business presentations.
+ Advanced knowledge of applicable AI/ML laws and emerging risks.
+ More than 10 years of experience in Financial Services Risk Management and/or Compliance, particularly in Digital, AI/ML environments.
+ Agile thinking with the ability to adapt to changing risk and control expectations.
+ Strong collaboration skills with a history of successful project outcomes.
+ Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business
+ Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each
+ Experience with a variety of model development and deployment platforms
_**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**_
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**
**Job Description**
**About the position**
As a Business Risk Portfolio Manager enabling the AI Center of Excellence (CoE) at U.S. Bank, you will collaborate with various teams to manage risks associated with AI products and ensure effective risk management frameworks are in place. This role focuses on identifying and mitigating risks within assigned portfolios while enhancing customer experiences and operational effectiveness. The position requires a strong background in model risk management, particularly involving AI/ML, and involves working closely with senior leaders and compliance teams to oversee the implementation of risk controls and processes.
This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models are those used across the Enterprise in functions ranging from pricing to business operations including internally developed or purchased from third parties. The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses.
The ideal candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key stakeholders across the bank
**Responsibilities**
+ Review and maintain business line model inventories ensuring appropriate controls and monitoring are in place for risk mitigation.
+ Oversee the creation, implementation, and maintenance of an effective AI risk management framework.
+ Consult on critical business processes and controls within the AI process hierarchy.
+ Assist with compliance projects and activities related to federal, state, and local regulations.
+ Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns
+ Review and assess model risks and controls as well as provide recommendation for remediating actions
+ Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence
+ Contribute to and coordinate with functional partners to ensure a holistic view of AI risks
+ Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed, from a 1st Line of Defense perspective
+ Quantitatively assess fairness for select AI models through independent analyses
+ Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations
+ Partner with AI product, design, operations, and technology teams to deliver impactful results.
+ Identify existing and emerging risks in collaboration with business and risk partners.
+ Estimation Method Questionnaire and Assessment: Support the completion of estimation method questionnaires and assessments to validate model assumptions, methodologies, and performance.
+ Liaison: Act as a liaison between the business and Model Risk Management teams, ensuring clear communication and alignment on model-related issues and requirements.
**Basic Qualifications**
+ Bachelor's degree, or equivalent work experience
+ 10 or more years of applicable experience
+ Applicable professional certifications
**Preferred Skills/Qualifications**
+ Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science)
+ Expert knowledge of Risk/Compliance/Audit competencies.
+ Strong understanding of AI/ML product development processes and model risk management.
+ Excellent communication skills for technical discussions and business presentations.
+ Advanced knowledge of applicable AI/ML laws and emerging risks.
+ More than 10 years of experience in Financial Services Risk Management and/or Compliance, particularly in Digital, AI/ML environments.
+ Agile thinking with the ability to adapt to changing risk and control expectations.
+ Strong collaboration skills with a history of successful project outcomes.
+ Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business
+ Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each
+ Experience with a variety of model development and deployment platforms
_**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**_
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**
View Now
4
AI Model Specialist
28230 Charlotte, North Carolina
U.S. Bank
Posted 5 days ago
Job Viewed
Job Description
At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.
**Job Description**
**About the position**
As a Business Risk Portfolio Manager enabling the AI Center of Excellence (CoE) at U.S. Bank, you will collaborate with various teams to manage risks associated with AI products and ensure effective risk management frameworks are in place. This role focuses on identifying and mitigating risks within assigned portfolios while enhancing customer experiences and operational effectiveness. The position requires a strong background in model risk management, particularly involving AI/ML, and involves working closely with senior leaders and compliance teams to oversee the implementation of risk controls and processes.
This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models are those used across the Enterprise in functions ranging from pricing to business operations including internally developed or purchased from third parties. The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses.
The ideal candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key stakeholders across the bank
**Responsibilities**
+ Review and maintain business line model inventories ensuring appropriate controls and monitoring are in place for risk mitigation.
+ Oversee the creation, implementation, and maintenance of an effective AI risk management framework.
+ Consult on critical business processes and controls within the AI process hierarchy.
+ Assist with compliance projects and activities related to federal, state, and local regulations.
+ Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns
+ Review and assess model risks and controls as well as provide recommendation for remediating actions
+ Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence
+ Contribute to and coordinate with functional partners to ensure a holistic view of AI risks
+ Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed, from a 1st Line of Defense perspective
+ Quantitatively assess fairness for select AI models through independent analyses
+ Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations
+ Partner with AI product, design, operations, and technology teams to deliver impactful results.
+ Identify existing and emerging risks in collaboration with business and risk partners.
+ Estimation Method Questionnaire and Assessment: Support the completion of estimation method questionnaires and assessments to validate model assumptions, methodologies, and performance.
+ Liaison: Act as a liaison between the business and Model Risk Management teams, ensuring clear communication and alignment on model-related issues and requirements.
**Basic Qualifications**
+ Bachelor's degree, or equivalent work experience
+ 10 or more years of applicable experience
+ Applicable professional certifications
**Preferred Skills/Qualifications**
+ Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science)
+ Expert knowledge of Risk/Compliance/Audit competencies.
+ Strong understanding of AI/ML product development processes and model risk management.
+ Excellent communication skills for technical discussions and business presentations.
+ Advanced knowledge of applicable AI/ML laws and emerging risks.
+ More than 10 years of experience in Financial Services Risk Management and/or Compliance, particularly in Digital, AI/ML environments.
+ Agile thinking with the ability to adapt to changing risk and control expectations.
+ Strong collaboration skills with a history of successful project outcomes.
+ Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business
+ Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each
+ Experience with a variety of model development and deployment platforms
_**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**_
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**
**Job Description**
**About the position**
As a Business Risk Portfolio Manager enabling the AI Center of Excellence (CoE) at U.S. Bank, you will collaborate with various teams to manage risks associated with AI products and ensure effective risk management frameworks are in place. This role focuses on identifying and mitigating risks within assigned portfolios while enhancing customer experiences and operational effectiveness. The position requires a strong background in model risk management, particularly involving AI/ML, and involves working closely with senior leaders and compliance teams to oversee the implementation of risk controls and processes.
This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models are those used across the Enterprise in functions ranging from pricing to business operations including internally developed or purchased from third parties. The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses.
The ideal candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key stakeholders across the bank
**Responsibilities**
+ Review and maintain business line model inventories ensuring appropriate controls and monitoring are in place for risk mitigation.
+ Oversee the creation, implementation, and maintenance of an effective AI risk management framework.
+ Consult on critical business processes and controls within the AI process hierarchy.
+ Assist with compliance projects and activities related to federal, state, and local regulations.
+ Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns
+ Review and assess model risks and controls as well as provide recommendation for remediating actions
+ Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence
+ Contribute to and coordinate with functional partners to ensure a holistic view of AI risks
+ Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed, from a 1st Line of Defense perspective
+ Quantitatively assess fairness for select AI models through independent analyses
+ Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations
+ Partner with AI product, design, operations, and technology teams to deliver impactful results.
+ Identify existing and emerging risks in collaboration with business and risk partners.
+ Estimation Method Questionnaire and Assessment: Support the completion of estimation method questionnaires and assessments to validate model assumptions, methodologies, and performance.
+ Liaison: Act as a liaison between the business and Model Risk Management teams, ensuring clear communication and alignment on model-related issues and requirements.
**Basic Qualifications**
+ Bachelor's degree, or equivalent work experience
+ 10 or more years of applicable experience
+ Applicable professional certifications
**Preferred Skills/Qualifications**
+ Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science)
+ Expert knowledge of Risk/Compliance/Audit competencies.
+ Strong understanding of AI/ML product development processes and model risk management.
+ Excellent communication skills for technical discussions and business presentations.
+ Advanced knowledge of applicable AI/ML laws and emerging risks.
+ More than 10 years of experience in Financial Services Risk Management and/or Compliance, particularly in Digital, AI/ML environments.
+ Agile thinking with the ability to adapt to changing risk and control expectations.
+ Strong collaboration skills with a history of successful project outcomes.
+ Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business
+ Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each
+ Experience with a variety of model development and deployment platforms
_**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**_
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**
View Now
5
AI Model Specialist
10176 New York, New York
U.S. Bank
Posted 5 days ago
Job Viewed
Job Description
At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.
**Job Description**
**About the position**
As a Business Risk Portfolio Manager enabling the AI Center of Excellence (CoE) at U.S. Bank, you will collaborate with various teams to manage risks associated with AI products and ensure effective risk management frameworks are in place. This role focuses on identifying and mitigating risks within assigned portfolios while enhancing customer experiences and operational effectiveness. The position requires a strong background in model risk management, particularly involving AI/ML, and involves working closely with senior leaders and compliance teams to oversee the implementation of risk controls and processes.
This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models are those used across the Enterprise in functions ranging from pricing to business operations including internally developed or purchased from third parties. The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses.
The ideal candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key stakeholders across the bank
**Responsibilities**
+ Review and maintain business line model inventories ensuring appropriate controls and monitoring are in place for risk mitigation.
+ Oversee the creation, implementation, and maintenance of an effective AI risk management framework.
+ Consult on critical business processes and controls within the AI process hierarchy.
+ Assist with compliance projects and activities related to federal, state, and local regulations.
+ Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns
+ Review and assess model risks and controls as well as provide recommendation for remediating actions
+ Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence
+ Contribute to and coordinate with functional partners to ensure a holistic view of AI risks
+ Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed, from a 1st Line of Defense perspective
+ Quantitatively assess fairness for select AI models through independent analyses
+ Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations
+ Partner with AI product, design, operations, and technology teams to deliver impactful results.
+ Identify existing and emerging risks in collaboration with business and risk partners.
+ Estimation Method Questionnaire and Assessment: Support the completion of estimation method questionnaires and assessments to validate model assumptions, methodologies, and performance.
+ Liaison: Act as a liaison between the business and Model Risk Management teams, ensuring clear communication and alignment on model-related issues and requirements.
**Basic Qualifications**
+ Bachelor's degree, or equivalent work experience
+ 10 or more years of applicable experience
+ Applicable professional certifications
**Preferred Skills/Qualifications**
+ Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science)
+ Expert knowledge of Risk/Compliance/Audit competencies.
+ Strong understanding of AI/ML product development processes and model risk management.
+ Excellent communication skills for technical discussions and business presentations.
+ Advanced knowledge of applicable AI/ML laws and emerging risks.
+ More than 10 years of experience in Financial Services Risk Management and/or Compliance, particularly in Digital, AI/ML environments.
+ Agile thinking with the ability to adapt to changing risk and control expectations.
+ Strong collaboration skills with a history of successful project outcomes.
+ Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business
+ Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each
+ Experience with a variety of model development and deployment platforms
_**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**_
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**
**Job Description**
**About the position**
As a Business Risk Portfolio Manager enabling the AI Center of Excellence (CoE) at U.S. Bank, you will collaborate with various teams to manage risks associated with AI products and ensure effective risk management frameworks are in place. This role focuses on identifying and mitigating risks within assigned portfolios while enhancing customer experiences and operational effectiveness. The position requires a strong background in model risk management, particularly involving AI/ML, and involves working closely with senior leaders and compliance teams to oversee the implementation of risk controls and processes.
This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models are those used across the Enterprise in functions ranging from pricing to business operations including internally developed or purchased from third parties. The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses.
The ideal candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key stakeholders across the bank
**Responsibilities**
+ Review and maintain business line model inventories ensuring appropriate controls and monitoring are in place for risk mitigation.
+ Oversee the creation, implementation, and maintenance of an effective AI risk management framework.
+ Consult on critical business processes and controls within the AI process hierarchy.
+ Assist with compliance projects and activities related to federal, state, and local regulations.
+ Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns
+ Review and assess model risks and controls as well as provide recommendation for remediating actions
+ Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence
+ Contribute to and coordinate with functional partners to ensure a holistic view of AI risks
+ Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed, from a 1st Line of Defense perspective
+ Quantitatively assess fairness for select AI models through independent analyses
+ Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations
+ Partner with AI product, design, operations, and technology teams to deliver impactful results.
+ Identify existing and emerging risks in collaboration with business and risk partners.
+ Estimation Method Questionnaire and Assessment: Support the completion of estimation method questionnaires and assessments to validate model assumptions, methodologies, and performance.
+ Liaison: Act as a liaison between the business and Model Risk Management teams, ensuring clear communication and alignment on model-related issues and requirements.
**Basic Qualifications**
+ Bachelor's degree, or equivalent work experience
+ 10 or more years of applicable experience
+ Applicable professional certifications
**Preferred Skills/Qualifications**
+ Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science)
+ Expert knowledge of Risk/Compliance/Audit competencies.
+ Strong understanding of AI/ML product development processes and model risk management.
+ Excellent communication skills for technical discussions and business presentations.
+ Advanced knowledge of applicable AI/ML laws and emerging risks.
+ More than 10 years of experience in Financial Services Risk Management and/or Compliance, particularly in Digital, AI/ML environments.
+ Agile thinking with the ability to adapt to changing risk and control expectations.
+ Strong collaboration skills with a history of successful project outcomes.
+ Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business
+ Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each
+ Experience with a variety of model development and deployment platforms
_**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**_
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants ( .
**Benefits:**
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
+ Healthcare (medical, dental, vision)
+ Basic term and optional term life insurance
+ Short-term and long-term disability
+ Pregnancy disability and parental leave
+ 401(k) and employer-funded retirement plan
+ Paid vacation (from two to five weeks depending on salary grade and tenure)
+ Up to 11 paid holiday opportunities
+ Adoption assistance
+ Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
**E-Verify**
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program ( .
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
**Posting may be closed earlier due to high volume of applicants.**
View Now
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6
AI Model Fine-Tuning Engineer
85067 Phoenix, Arizona
Actalent
Posted 1 day ago
Job Viewed
Job Description
Job Title: Senior AI Model Fine-Tuning EngineerJob Description
As a Senior AI Model Fine-Tuning Engineer, you will play a pivotal role in enhancing the adaptability and intelligence of AI models, aligning them with real-world applications. You will employ advanced techniques such as prompt engineering, Reinforcement Learning from Human Feedback (RLHF), and instruction tuning to ensure high-quality, context-aware responses from our models.
Responsibilities
+ Lead the fine-tuning process for large pre-trained models, ensuring they behave appropriately across various contexts, such as instruction following, question answering, and task performance.
+ Design and implement prompt engineering strategies to produce accurate, relevant, and coherent outputs from AI models.
+ Apply RLHF and other behavioral fine-tuning methods to improve model alignment with user needs and ethical standards.
+ Collaborate with data teams to integrate relevant data for continuous model behavior improvement.
+ Conduct model evaluations using performance metrics such as accuracy, bias detection, and user feedback to identify areas for enhancement.
+ Iterate and experiment with different fine-tuning methods to achieve optimal performance for specific use cases.
+ Monitor model drift to ensure models remain consistent, reliable, and safe over time.
Essential Skills
+ Bachelor's degree in Computer Science, Data Science, or a related field.
+ 5+ years of experience fine-tuning large-scale models like GPT, T5, or BERT, with a focus on behavior and functionality.
+ Expertise in advanced tuning methods such as RLHF, prompt engineering, and zero-shot learning.
+ Experience with transformer architectures and frameworks like Hugging Face, TensorFlow, or PyTorch.
+ Proficiency in Python and experience with libraries for model fine-tuning, such as Transformers and DeepSpeed.
+ Understanding of LLM behaviors, including instruction-following, task completion, and ethical output considerations.
+ Experience in evaluating model performance using metrics such as BLEU, ROUGE, and perplexity.
Additional Skills & Qualifications
+ Experience with ethical AI and safety considerations, including bias minimization and adversarial input handling.
+ Experience with model deployment and real-time experimentation, such as A/B testing.
Work Environment
The role requires candidates to work on-site at our Phoenix, Arizona facility, which is a state-of-the-art technology environment. The work setting is highly regulated, prohibiting the use of personal cell phones. Employees benefit from an average of 85+ hours of learning programs annually, focusing on technical training, leadership development, and cross-functional mobility. Additional benefits include health coverage, wellness programs, family care support for childcare, eldercare, and pet care, fitness resources, mental health support, travel-related benefits, and funding for professional development and community service activities.
Pay and Benefits
The pay range for this position is $95000.00 - $15000.00/yr.
Medical & Insurance: Health coverage, wellness programs, and supplemental insurance.Family Care: Support for childcare, eldercare, and even pet care (a new addition).Wellness: Fitness, mental health resources, and travel-related benefits.Development & Volunteering: Funding for professional development and community service activities.
Average of 85+ hours of learning programs per employee annually.Strong focus on technical training, leadership development, and cross-functional mobility
Workplace Type
This is a fully onsite position in Phoenix,AZ.
Application Deadline
This position is anticipated to close on Aug 1, 2025.
About Actalent
Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email (% ) for other accommodation options.
As a Senior AI Model Fine-Tuning Engineer, you will play a pivotal role in enhancing the adaptability and intelligence of AI models, aligning them with real-world applications. You will employ advanced techniques such as prompt engineering, Reinforcement Learning from Human Feedback (RLHF), and instruction tuning to ensure high-quality, context-aware responses from our models.
Responsibilities
+ Lead the fine-tuning process for large pre-trained models, ensuring they behave appropriately across various contexts, such as instruction following, question answering, and task performance.
+ Design and implement prompt engineering strategies to produce accurate, relevant, and coherent outputs from AI models.
+ Apply RLHF and other behavioral fine-tuning methods to improve model alignment with user needs and ethical standards.
+ Collaborate with data teams to integrate relevant data for continuous model behavior improvement.
+ Conduct model evaluations using performance metrics such as accuracy, bias detection, and user feedback to identify areas for enhancement.
+ Iterate and experiment with different fine-tuning methods to achieve optimal performance for specific use cases.
+ Monitor model drift to ensure models remain consistent, reliable, and safe over time.
Essential Skills
+ Bachelor's degree in Computer Science, Data Science, or a related field.
+ 5+ years of experience fine-tuning large-scale models like GPT, T5, or BERT, with a focus on behavior and functionality.
+ Expertise in advanced tuning methods such as RLHF, prompt engineering, and zero-shot learning.
+ Experience with transformer architectures and frameworks like Hugging Face, TensorFlow, or PyTorch.
+ Proficiency in Python and experience with libraries for model fine-tuning, such as Transformers and DeepSpeed.
+ Understanding of LLM behaviors, including instruction-following, task completion, and ethical output considerations.
+ Experience in evaluating model performance using metrics such as BLEU, ROUGE, and perplexity.
Additional Skills & Qualifications
+ Experience with ethical AI and safety considerations, including bias minimization and adversarial input handling.
+ Experience with model deployment and real-time experimentation, such as A/B testing.
Work Environment
The role requires candidates to work on-site at our Phoenix, Arizona facility, which is a state-of-the-art technology environment. The work setting is highly regulated, prohibiting the use of personal cell phones. Employees benefit from an average of 85+ hours of learning programs annually, focusing on technical training, leadership development, and cross-functional mobility. Additional benefits include health coverage, wellness programs, family care support for childcare, eldercare, and pet care, fitness resources, mental health support, travel-related benefits, and funding for professional development and community service activities.
Pay and Benefits
The pay range for this position is $95000.00 - $15000.00/yr.
Medical & Insurance: Health coverage, wellness programs, and supplemental insurance.Family Care: Support for childcare, eldercare, and even pet care (a new addition).Wellness: Fitness, mental health resources, and travel-related benefits.Development & Volunteering: Funding for professional development and community service activities.
Average of 85+ hours of learning programs per employee annually.Strong focus on technical training, leadership development, and cross-functional mobility
Workplace Type
This is a fully onsite position in Phoenix,AZ.
Application Deadline
This position is anticipated to close on Aug 1, 2025.
About Actalent
Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email (% ) for other accommodation options.
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7
Principal Software Quality Engineer - AI Model Serving
27601 Raleigh, North Carolina
Red Hat
Posted 13 days ago
Job Viewed
Job Description
Job Summary:
Are you ready to take a technical leadership role in shaping the quality of an open-source, Kubernetes-native AI platform that's redefining hybrid cloud?
The Red Hat OpenShift AI (RHOAI) team is seeking a Principal Quality Engineer with deep experience in Kubernetes-native application testing and a strong foundation in Python and PyTest to lead quality strategy across our AI Model Serving offerings. You'll work in a highly collaborative team responsible for one of the core capabilities of OpenShift AI, contributing to open-source projects such as KServe, Kubeflow, and vLLM. Your work will directly impact enterprises running mission-critical AI workloads on hybrid and multi-cloud environments.
This role requires not only excellent engineering skills but also strategic vision, thought leadership, and the ability to mentor and influence others across multiple teams.
What You Will Do:
-
Lead the quality strategy and implementation for Kubernetes-native components in Model Serving, including Custom Resources, Controllers, and Operators.
-
Own and evolve automated test architecture with a focus on PyTest, CI/CD, integration testing, and end-to-end testing in Kubernetes environments.
-
Partner with engineering, product, and community teams to define testability requirements, ensure early validation, and prevent regressions.
-
Design tests that validate system-level properties including scalability, autoscaling, observability, and reliability for AI workloads.
-
Participate and influence upstream communities (KServe, Kubeflow, ModelMesh, etc.), raising quality standards and sharing best practices.
-
Drive efforts to mock, simulate, and validate model serving use cases in hybrid cloud and on-prem environments.
-
Serve as a technical mentor and go-to expert for Python-based testing frameworks and Kubernetes-native validation strategies.
-
Take a lead role in debugging complex system-level issues, especially in multi-tenant, distributed AI systems.
-
Champion Shift-left testing and early validation practices across the RHOAI stack.
What You Will Bring:
-
Proven expertise with Kubernetes API development and testing (CRs, Operators, Controllers). Experience working directly with Custom Resources and reconciliation logic is essential.
-
Strong programming and testing experience in Python, especially with PyTest in large, scalable codebases. Golang knowledge is a plus.
-
Deep understanding of Kubernetes internals, networking, and lifecycle hooks. Experience with OpenShift is a plus.
-
Extensive knowledge of CI/CD pipelines, especially in containerized or cloud-native ecosystems (e.g., GitHub Actions, Tekton, Jenkins).
-
Strong knowledge of test strategy for ML model serving systems, including considerations for runtime performance, isolation, and failure recovery.
-
Experience with troubleshooting distributed systems and validating observability via Prometheus, Grafana, OpenTelemetry, etc.
-
A proven ability to lead technical projects and mentor others across teams and time zones.
-
Excellent communication skills and comfort presenting to engineers, managers, and external stakeholders.
Preferred (Nice-to-Have):
-
Hands-on experience with KServe, ModelMesh, Ray, vLLM, or other model serving frameworks.
-
Familiarity with Red Hat Service Mesh, Istio, Knative, or similar serverless/K8s-native middleware stacks.
-
Experience with performance/load testing frameworks and chaos testing in Kubernetes.
-
Contribution history in open-source projects or technical leadership in community forums.
#LI-MD2
#AI-Hiring
The salary range for this position is $116,270.00 - $191,840.00. Actual offer will be based on your qualifications.
Pay Transparency
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
About Red Hat
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
Benefits
? Comprehensive medical, dental, and vision coverage
? Flexible Spending Account - healthcare and dependent care
? Health Savings Account - high deductible medical plan
? Retirement 401(k) with employer match
? Paid time off and holidays
? Paid parental leave plans for all new parents
? Leave benefits including disability, paid family medical leave, and paid military leave
? Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.
Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email . General inquiries, such as those regarding the status of a job application, will not receive a reply.
View Now
8
Principal Software Quality Engineer - AI Model Serving
25911
Red Hat
Posted 1 day ago
Job Viewed
Job Description
Job Summary:
Are you ready to take a technical leadership role in shaping the quality of an open-source, Kubernetes-native AI platform that's redefining hybrid cloud?
The Red Hat OpenShift AI (RHOAI) team is seeking a Principal Quality Engineer with deep experience in Kubernetes-native application testing and a strong foundation in Python and PyTest to lead quality strategy across our AI Model Serving offerings. You'll work in a highly collaborative team responsible for one of the core capabilities of OpenShift AI, contributing to open-source projects such as KServe, Kubeflow, and vLLM. Your work will directly impact enterprises running mission-critical AI workloads on hybrid and multi-cloud environments.
This role requires not only excellent engineering skills but also strategic vision, thought leadership, and the ability to mentor and influence others across multiple teams.
What You Will Do:
#LI-MD2
#AI-Hiring
The salary range for this position is $116,270.00 - $191,840.00. Actual offer will be based on your qualifications.
Pay Transparency
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
About Red Hat
Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
Benefits
•Comprehensive medical, dental, and vision coverage
•Flexible Spending Account - healthcare and dependent care
•Health Savings Account - high deductible medical plan
•Retirement 401(k) with employer match
•Paid time off and holidays
•Paid parental leave plans for all new parents
•Leave benefits including disability, paid family medical leave, and paid military leave
•Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.
Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email General inquiries, such as those regarding the status of a job application, will not receive a reply.
Are you ready to take a technical leadership role in shaping the quality of an open-source, Kubernetes-native AI platform that's redefining hybrid cloud?
The Red Hat OpenShift AI (RHOAI) team is seeking a Principal Quality Engineer with deep experience in Kubernetes-native application testing and a strong foundation in Python and PyTest to lead quality strategy across our AI Model Serving offerings. You'll work in a highly collaborative team responsible for one of the core capabilities of OpenShift AI, contributing to open-source projects such as KServe, Kubeflow, and vLLM. Your work will directly impact enterprises running mission-critical AI workloads on hybrid and multi-cloud environments.
This role requires not only excellent engineering skills but also strategic vision, thought leadership, and the ability to mentor and influence others across multiple teams.
What You Will Do:
- Lead the quality strategy and implementation for Kubernetes-native components in Model Serving, including Custom Resources, Controllers, and Operators.
- Own and evolve automated test architecture with a focus on PyTest, CI/CD, integration testing, and end-to-end testing in Kubernetes environments.
- Partner with engineering, product, and community teams to define testability requirements, ensure early validation, and prevent regressions.
- Design tests that validate system-level properties including scalability, autoscaling, observability, and reliability for AI workloads.
- Participate and influence upstream communities (KServe, Kubeflow, ModelMesh, etc.), raising quality standards and sharing best practices.
- Drive efforts to mock, simulate, and validate model serving use cases in hybrid cloud and on-prem environments.
- Serve as a technical mentor and go-to expert for Python-based testing frameworks and Kubernetes-native validation strategies.
- Take a lead role in debugging complex system-level issues, especially in multi-tenant, distributed AI systems.
- Champion Shift-left testing and early validation practices across the RHOAI stack.
- Proven expertise with Kubernetes API development and testing (CRs, Operators, Controllers). Experience working directly with Custom Resources and reconciliation logic is essential.
- Strong programming and testing experience in Python, especially with PyTest in large, scalable codebases. Golang knowledge is a plus.
- Deep understanding of Kubernetes internals, networking, and lifecycle hooks. Experience with OpenShift is a plus.
- Extensive knowledge of CI/CD pipelines, especially in containerized or cloud-native ecosystems (e.g., GitHub Actions, Tekton, Jenkins).
- Strong knowledge of test strategy for ML model serving systems, including considerations for runtime performance, isolation, and failure recovery.
- Experience with troubleshooting distributed systems and validating observability via Prometheus, Grafana, OpenTelemetry, etc.
- A proven ability to lead technical projects and mentor others across teams and time zones.
- Excellent communication skills and comfort presenting to engineers, managers, and external stakeholders.
- Hands-on experience with KServe, ModelMesh, Ray, vLLM, or other model serving frameworks.
- Familiarity with Red Hat Service Mesh, Istio, Knative, or similar serverless/K8s-native middleware stacks.
- Experience with performance/load testing frameworks and chaos testing in Kubernetes.
- Contribution history in open-source projects or technical leadership in community forums.
#LI-MD2
#AI-Hiring
The salary range for this position is $116,270.00 - $191,840.00. Actual offer will be based on your qualifications.
Pay Transparency
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
About Red Hat
Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
Benefits
•Comprehensive medical, dental, and vision coverage
•Flexible Spending Account - healthcare and dependent care
•Health Savings Account - high deductible medical plan
•Retirement 401(k) with employer match
•Paid time off and holidays
•Paid parental leave plans for all new parents
•Leave benefits including disability, paid family medical leave, and paid military leave
•Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.
Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email General inquiries, such as those regarding the status of a job application, will not receive a reply.
View Now
9