9,648 Artificial Intelligence Engineer jobs in the United States

**Description**
SAIC, a leading provider of systems development & deployment, targeting & intelligence analysis, systems engineering & integration, and training capabilities and solutions for the Intelligence Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of national importance.
We are seeking an Artificial Intelligence (AI) Engineer/Policy SME to support a fast-paced, dynamic environment supporting the governance process. In this role, this person will work closely with the ODNI CDO & CAIO to create AI governance policy based on experience and real-world considerations, and provide hands-on work dealing with AI models for prototyping, training, inference, and deployment. The customer is seeking a subject matter expert, creating and translating trend analyses, and facilitate stakeholder decision-making, policy, and governance pertaining to current and emerging AI technology.
The selected candidate should have experience in more than one of the requirements below:
+ Be an expert in the field of AI with an in-depth knowledge of AI architecture and development
+ Experience translating highly technical concepts into policy and governance documents
+ Have in depth experience with collaborating with various IC Partners on policy and governance
+ Have an expertise in one or more of the following subfields, or similar subfield: ethics, policy, or law pertaining to AI and emerging technology
+ Be forward leaning, recommending necessary improvements to achieve the customer's vision
+ Stay up to date with the latest advancements in AI technologies
**Qualifications**
+ **Active TS/SCI with Polygraph is required**
+ Bachelor's degree and ten (10) years or more of related experience; Master's degree and seven (7) years or more experience; PhD or JD and five (5) years or more experience
+ Experience establishing AI policy and governance documents for existing and emerging AI technology
+ 5+ years collaborating with various Intel Community (IC) partners including non-DoD IC elements on information sharing
+ Experience with specific AI applications including NLP, LLM, GenAI, RAG, Agentic AI use cases
+ Experience in at least two of the following fields: AI development, AI architecture, AI policy, AI engineering, AI ethics & laws, and emerging technology
+ Experience collaborating with data scientists and other AI related stakeholders
**Desired Skills:**
+ Experience with Python, R, SQL, Jupyter, MLOps, AI/ML services (e.g., AWS SageMaker, Amazon Q, Azure ML Studio, CoPilot Studio, Google BigQuery, Oracle ML) leveraging cloud service provider(s) (e.g., AWS, Azure, Oracle, and Google)
+ Experience with designing, developing, and implementing AI models
+ Experience with optimizing and deploying AI solutions
REQNUMBER:
SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability

**Description**
SAIC is seeking an experienced AI Engineer to support one of our Intelligence customers. The ideal candidate will possess a strong background in AI, data science, or software engineering. This funded role involves leveraging advanced analytical techniques and agentic data discovery methodologies to enhance the program's data exploitation capabilities and reduce reliance on manual data processing.
**Key Responsibilities:**
+ Utilize advanced analytical techniques and agentic data discovery methodologies to analyze disparate data sources across the Intelligence Community (IC) and other agencies.
+ Develop and implement AI/ML solutions to accelerate data aggregation and the identification of emerging threats to national security.
+ Enhance the program's capabilities to exploit large datasets and identify correlations and threat vectors.
+ Collaborate with cross-functional teams and stakeholders to understand data requirements and deliver AI solutions that meet program objectives.
+ Stay current with emerging AI/ML technologies and best practices to ensure the program remains at the forefront of technological advancements.
+ Provide guidance and mentorship to non-technical team members on AI/ML methodologies and best practices.
+ Create and maintain documentation for AI/ML models, algorithms, and processes.
**Qualifications**
+ **Active TS/SCI with Polygraph is required.**
+ Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Advanced degree preferred.
+ Minimum of 8 years of experience in AI, data science, or software engineering.
+ Extensive knowledge of advanced analytical techniques and agentic data discovery methodologies.
+ Proven experience with disparate data sources and integrating data from multiple agencies or sectors.
+ Strong understanding of AI/ML models, algorithms, and tools.
+ Experience with programming languages and tools such as Python, R, TensorFlow, PyTorch, and other AI/ML frameworks.
+ Familiarity with data processing platforms such as Hadoop, Spark, and cloud services (AWS, Azure, GCP).
+ Ability to work independently and as part of a team in a fast-paced, dynamic environment.
+ Excellent problem-solving skills and the ability to think critically and strategically.
+ Strong communication and interpersonal skills to effectively collaborate with stakeholders and present findings.
+ Experience working within the Intelligence Community (IC) or other government agencies.
+ TS/SCI with Poly
**Preferred Qualifications:**
+ Knowledge of national security threats and data exploitation strategies.
+ Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
REQNUMBER:
SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability

Build, train and deploy large-scale, self-supervised "foundation" models that learn rich representations of seismic data (ND(2D,3D,.) volumes), to be fine-tuned for tasks such as event detection, subsurface imaging, fault characterization or reservoir property estimation.
+ Domain Knowledge
+ Seismic theory & processing: data formats (SEG-Y/D), de-noising, deconvolution, stacking, migration, tomography, inversion.
+ Reservoir geomechanics, rock physics, well-log integration, AVO/AVA analysis.
+ Geostatistics: variography, kriging, co-kriging, uncertainty quantification.
+ Machine-Learning & Foundation-Model Expertise
+ Self-supervised and semi-supervised learning: masked autoencoders (MAE), contrastive methods (SimCLR, BYOL), clustering-based (DINO), predictive coding.
+ Model architectures: 1D/2D/3D CNNs, Vision/Audio Transformers, graph neural networks, diffusion/generative models, multi-modal encoders.
+ Transfer learning & fine-tuning at scale: prompt/adapter-based techniques, domain adaptation.
+ Evaluation metrics: geophysical error norms (L2, semblance), detection/segmentation metrics (IoU, F1), end-use KPIs (horizon-picking accuracy, attribute classification).
+ Software & Infrastructure
+ Programming: expert Python (NumPy, SciPy, Pandas), C++/CUDA for performance kernels.
+ Deep-learning frameworks: PyTorch (Lightning, Distributed), TensorFlow/Keras, JAX/Flax.
+ Large-scale training: multi-GPU, multi-node, mixed-precision, ZeRO optimization.
+ Data engineering: advanced segmentation of terabyte-scale seismic volumes.
+ Mathematical & Algorithmic Foundations
+ Linear algebra, probability & statistics, optimization (stochastic, convex, non-convex).
+ Signal processing: Fourier/Wavelet transforms, filtering, spectral analysis.
+ Numerical methods for PDEs, inverse problems, regularization techniques.
+ Collaboration & Communication
+ Cross-disciplinary teamwork with geoscientists, software engineers, product managers and end-users.
+ Clear presentation of complex model behaviors, uncertainty quantification and business impact.
+ Desired Extras
+ Contributions to open-source seismic/ML projects or standards bodies (e.g. SEG, OSDU).
+ Cloud & DevOps: AWS/GCP/Azure (S3, EC2/GPU, Batch/ML Engine), Kubernetes, Terraform, Docker, CI/CD pipelines.
+ Experiment tracking & MLOps: MLflow, Weights & Biases, Neptune, Grafana, Prometheus.
+ Multi-modal fusion: combining seismic with well logs, production data, satellite/inSAR.
+ Agile/Scrum practices: sprint planning, peer code reviews, documentation (API specs, best practices).
+ Education & Experience
+ PhD (or M.S. + 5+ years) in Geophysics, Seismology, Computer Science, Electrical Engineering, Applied Math, or equivalent.
+ 2-3+ years hands-on seismic/geophysical data processing or interpretation.
+ Peer-reviewed publications or patents in seismic AI, geophysical inversion or related fields a plus.
Company policy is to provide every individual a fair and equal opportunity to seek employment and advancement at the Company without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, citizenship, genetic information, veteran or military status, disability, creed, ancestry, pregnancy (including pregnancy, childbirth and related medical conditions), marital status or any factors protected by federal, state, or local laws. We are an "Equal Opportunity Employer". For more information please, refer to the latest version of "Know Your Rights" poster and the "Pay Transparency Nondiscrimination Poster" located here: The Company is a VEVRAA Federal Contractor - priority referral Protected Veterans requested.

At Elanco (NYSE: ELAN) – it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals’ lives better makes life better – join our team today!

Your Role:

As an Artificial Intelligence (AI) Engineer at Elanco, you will join a dynamic engineering team dedicated to designing, developing, and deploying cutting-edge AI solutions that drive innovation, efficiency, and value across the business.

This role is perfect for a creative problem-solver passionate about leveraging AI, specifically Generative AI and Agentic AI, to make a tangible impact.

This includes four strategic priorities:

• Pipeline Acceleration: Optimize the search and approval of high impact medicines with a focus on speed, cost and precision.
• Manufacturing Excellence: Improve the efficiency, quality and consistency of core manufacturing processes, specifically execution and equipment effectiveness.
• Sales Effectiveness: Simplify the process to find, trust and consume relevant customer insights that drive sales growth and improved engagement.
• Productivity: Expand operating margin through efficiency by systematically reducing our operating expenses across the company, improving profitability.

Your Responsibilities:

• Consume and Integrate AI Models: Design, build, integrate, and deploy AI powered solutions to solve complex business challenges.
• Collaborate Across Teams: Work closely with software/data engineers, data stewards/scientists, and business stakeholders to understand requirements and deliver scalable, integrated AI solutions.
• Build Production-Ready Solutions: Engineer and maintain robust solutions, with a focus scale, reliability and operational efficiency.
• Drive Innovation: Stay current with the latest advancements in AI and identify opportunities to apply new technologies to advance Elanco’s mission.
• Ensure Quality & Performance: Write clean, efficient, and well-documented code, and ensure all solutions are optimized for performance, security, and scalability.
• Translate Business Needs: Effectively translate business requirements into technical specifications for AI-driven products and features.

What You Need to Succeed (Minimum Qualifications):

• Educational Background: A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• Required Experience: 3+ years experience in Artificial Intelligence, Data Science or relevant experience.
• Programming Proficiency: Strong experience in JavaScript, TypeScript, and/or Python. Proficiency with common libraries and frameworks.
• Cloud Experience: Hands-on experience with Public Cloud, specifically Microsoft Azure and Google Cloud Platform (GCP) and their associated Data/AI/ML services.
• DevSecOps: Proven experience with relevant DevSecOps concepts and tooling, including Continuous Integration/Continuous Delivery (CI/CD), Git SCM, Containerization (Docker, Kubernetes), Infrastructure-as-Code (HashiCorp Terraform).
• Data Skills: Solid understanding of data structures, data modelling, and experience with common database structures/models.
• Problem-Solving: Excellent analytical and problem-solving skills with the ability to work on complex challenges independently and in a team setting.
• Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences.
• Industry Experience (Nice to Have): Experience in the life science, animal health, or a related regulated industry.

Don’t meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!

Elanco Benefits and Perks :

We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include:

• Multiple relocation packages
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
• 8-week parental leave
• 9 Employee Resource Groups
• Annual bonus offering
• Flexible work arrangements
• Up to 6% 401K matching

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

Please note this role is Hybrid (2 days/week in office)
**Role Overview**
We are seeking a highly analytical and technically proficient ML/AI Engineer to join our ARC team. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI to solve complex financial problems. You will work to develop AI/ML/DS features for enterprise-wide AI products, develop models, optimize strategies, and contribute to the evolution of our AI-powered financial systems.
**What will you do:**
+ Design and develop machine learning models (Supervised, Unsupervised, and Reinforcement Learning), AI (Generative models and agent orchestration) models, and deep learning models (e.g., Neural Networks and autoencoders).
+ Run machine learning tests and experiments.
+ Train and retrain systems to prevent drift and optimize results.
+ Solve complex problems with multi-layered data sets, extend existing ML frameworks (Scikit-Learn, XGBoost, Tensorflow) and AI frameworks (Keras, LangChain).
+ Leverage and develop advanced analytics models (network based, forecasting, rules-based), implement said algorithms, and build tools to apply them.
+ Turn structured, semi-structured and unstructured data into useful information
+ Develop ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.
+ Run tests, perform statistical analysis, and interpret test results.
+ Contribute to shaping the digital foundations: (Hypergraph) Scenario Engine and Network based Methods: graph-based modeling tool that maps relationships between entities and simulates cascading scenarios; Chatbots (i.e., Distribution); Semantic Engine: AI layer that enables meaning-based search as opposed to keyword search.
+ Conduct large-scale analysis of information to discover patterns and trends by combining different models and algorithms.
+ Get insights from data (descriptive, attribution).
+ Perform Topological Data Modeling, Causality, Variable Importance Analysis, Attribution modeling, Regression.
**What you need to succeed:**
+ Master's or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.
+ Experience in model development (ML/ data science, AI/GenAI) within financial services or technology sectors.
+ Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, scikit-learn
+ Strong grasp of artificial intelligence and machine learning frameworks and stacks.
+ Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous.
+ Intellectual curiosity and adaptability to emerging AI and quant finance trends.
+ Strong communication skills to explain complex models to non-technical stakeholders.
+ Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
+ Attention to detail and a rigorous approach to model validation and testing.
**Salary:**
$88,800.00 - $165,600.00
**Pay Type:**
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Us**
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Please note this role is Hybrid (2 days/week in office)
**Role Overview**
We are seeking a highly analytical and technically proficient ML/AI Engineer to join our ARC team. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI to solve complex financial problems. You will work to develop AI/ML/DS features for enterprise-wide AI products, develop models, optimize strategies, and contribute to the evolution of our AI-powered financial systems.
**What will you do:**
+ Design and develop machine learning models (Supervised, Unsupervised, and Reinforcement Learning), AI (Generative models and agent orchestration) models, and deep learning models (e.g., Neural Networks and autoencoders).
+ Run machine learning tests and experiments.
+ Train and retrain systems to prevent drift and optimize results.
+ Solve complex problems with multi-layered data sets, extend existing ML frameworks (Scikit-Learn, XGBoost, Tensorflow) and AI frameworks (Keras, LangChain).
+ Leverage and develop advanced analytics models (network based, forecasting, rules-based), implement said algorithms, and build tools to apply them.
+ Turn structured, semi-structured and unstructured data into useful information
+ Develop ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.
+ Run tests, perform statistical analysis, and interpret test results.
+ Contribute to shaping the digital foundations: (Hypergraph) Scenario Engine and Network based Methods: graph-based modeling tool that maps relationships between entities and simulates cascading scenarios; Chatbots (i.e., Distribution); Semantic Engine: AI layer that enables meaning-based search as opposed to keyword search.
+ Conduct large-scale analysis of information to discover patterns and trends by combining different models and algorithms.
+ Get insights from data (descriptive, attribution).
+ Perform Topological Data Modeling, Causality, Variable Importance Analysis, Attribution modeling, Regression.
**What you need to succeed:**
+ Master's or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.
+ Experience in model development (ML/ data science, AI/GenAI) within financial services or technology sectors.
+ Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, scikit-learn
+ Strong grasp of artificial intelligence and machine learning frameworks and stacks.
+ Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous.
+ Intellectual curiosity and adaptability to emerging AI and quant finance trends.
+ Strong communication skills to explain complex models to non-technical stakeholders.
+ Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
+ Attention to detail and a rigorous approach to model validation and testing.
**Salary:**
$88,800.00 - $165,600.00
**Pay Type:**
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Us**
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Please note this role is Hybrid (2 days/week in office)
**Role Overview**
We are seeking a highly analytical and technically proficient ML/AI Engineer to join our ARC team. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI to solve complex financial problems. You will work to develop AI/ML/DS features for enterprise-wide AI products, develop models, optimize strategies, and contribute to the evolution of our AI-powered financial systems.
**What will you do:**
+ Design and develop machine learning models (Supervised, Unsupervised, and Reinforcement Learning), AI (Generative models and agent orchestration) models, and deep learning models (e.g., Neural Networks and autoencoders).
+ Run machine learning tests and experiments.
+ Train and retrain systems to prevent drift and optimize results.
+ Solve complex problems with multi-layered data sets, extend existing ML frameworks (Scikit-Learn, XGBoost, Tensorflow) and AI frameworks (Keras, LangChain).
+ Leverage and develop advanced analytics models (network based, forecasting, rules-based), implement said algorithms, and build tools to apply them.
+ Turn structured, semi-structured and unstructured data into useful information
+ Develop ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.
+ Run tests, perform statistical analysis, and interpret test results.
+ Contribute to shaping the digital foundations: (Hypergraph) Scenario Engine and Network based Methods: graph-based modeling tool that maps relationships between entities and simulates cascading scenarios; Chatbots (i.e., Distribution); Semantic Engine: AI layer that enables meaning-based search as opposed to keyword search.
+ Conduct large-scale analysis of information to discover patterns and trends by combining different models and algorithms.
+ Get insights from data (descriptive, attribution).
+ Perform Topological Data Modeling, Causality, Variable Importance Analysis, Attribution modeling, Regression.
**What you need to succeed:**
+ Master's or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.
+ Experience in model development (ML/ data science, AI/GenAI) within financial services or technology sectors.
+ Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, scikit-learn
+ Strong grasp of artificial intelligence and machine learning frameworks and stacks.
+ Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous.
+ Intellectual curiosity and adaptability to emerging AI and quant finance trends.
+ Strong communication skills to explain complex models to non-technical stakeholders.
+ Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
+ Attention to detail and a rigorous approach to model validation and testing.
**Salary:**
$88,800.00 - $165,600.00
**Pay Type:**
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Us**
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

**Calling all innovators - find your future at Fiserv.**
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Senior Artificial Intelligence Engineer
**About your role:**
You will lead the implementation of generative AI services within our enterprise environment and integrate advanced AI capabilities with existing enterprise architecture. While navigating technical challenges and ensuring compliance with governance requirements, you will leverage AI to enhance productivity, quality, and operational excellence to help our clients grow through innovative financial services experiences.
**What you'll do:**
+ Lead the implementation of generative AI services within our enterprise environment to drive innovation and client growth
+ Apply advanced software development techniques using Python to create innovative solutions
+ Integrate AI capabilities with existing enterprise architecture and ensure seamless systems collaboration
+ Evaluate and identify new AI project ideas, as well as register existing AI projects ensuring adherence to safe and responsible AI practices
+ Use AI solutions to mitigate risks and ensure compliance with AI governance policies
+ Implement AI platforms and review AI use cases from a technical perspective utilizing modern DevOps practices
+ Communicate effectively with leaders and stakeholders to drive AI governance, strategy, and problem-solving, addressing data handling risks and ensuring operational excellence
**Experience you'll need to have:**
+ 6+ years of experience in Python
+ 6+ years of experience with cloud solutions such as AWS, Azure, or Google Cloud Platform
+ 2+ years of experience in implementing generative AI services
+ Experience in enterprise architecture, risk compliance, and AI governance
+ Experience integrating AI solutions and modern DevOps practices, including CI/CD, microservices, and containerization
+ Bachelor's degree in computer science, IT, or an equivalent combination of work, education, and/or military experience
**Experience that would be great to have:**
+ Proficiency with machine learning frameworks like Tensor Flow or PyTorch
+ Experience with Retrieval Augmented Generation and agentic AI frameworks
+ Effective communication skills for effective cross-team collaboration and project management
**Important info about this role:**
+ You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.
+ We're better together! This role is fully on-site.
+ This is a full-time, direct-hire position, and no contract options or unsolicited agency submissions will be considered.
#LI-IH1
**Salary Range**
$109,000.00 - $182,400.00
_These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ._
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company's sole discretion.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Equal Opportunity:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact . Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

**Calling all innovators - find your future at Fiserv.**
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Senior Artificial Intelligence Engineer
**About your role:**
You will lead the implementation of generative AI services within our enterprise environment and integrate advanced AI capabilities with existing enterprise architecture. While navigating technical challenges and ensuring compliance with governance requirements, you will leverage AI to enhance productivity, quality, and operational excellence to help our clients grow through innovative financial services experiences.
**What you'll do:**
+ Lead the implementation of generative AI services within our enterprise environment to drive innovation and client growth
+ Apply advanced software development techniques using Python to create innovative solutions
+ Integrate AI capabilities with existing enterprise architecture and ensure seamless systems collaboration
+ Evaluate and identify new AI project ideas, as well as register existing AI projects ensuring adherence to safe and responsible AI practices
+ Use AI solutions to mitigate risks and ensure compliance with AI governance policies
+ Implement AI platforms and review AI use cases from a technical perspective utilizing modern DevOps practices
+ Communicate effectively with leaders and stakeholders to drive AI governance, strategy, and problem-solving, addressing data handling risks and ensuring operational excellence
**Experience you'll need to have:**
+ 6+ years of experience in Python
+ 6+ years of experience with cloud solutions such as AWS, Azure, or Google Cloud Platform
+ 2+ years of experience in implementing generative AI services
+ Experience in enterprise architecture, risk compliance, and AI governance
+ Experience integrating AI solutions and modern DevOps practices, including CI/CD, microservices, and containerization
+ Bachelor's degree in computer science, IT, or an equivalent combination of work, education, and/or military experience
**Experience that would be great to have:**
+ Proficiency with machine learning frameworks like Tensor Flow or PyTorch
+ Experience with Retrieval Augmented Generation and agentic AI frameworks
+ Effective communication skills for effective cross-team collaboration and project management
**Important info about this role:**
+ You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.
+ We're better together! This role is fully on-site.
+ This is a full-time, direct-hire position, and no contract options or unsolicited agency submissions will be considered.
#LI-IH1
**Salary Range**
$109,000.00 - $182,400.00
_These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ._
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company's sole discretion.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Equal Opportunity:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact . Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.