9,190 AI Engineer jobs in the United States

Overall Responsibilities:  

• Architect and lead end-to-end ML/AI solutions s upporting life insurance underwriting using LLMs, deep learning, and probabilistic modeling—from ideation to production .  

• Deploy scalable GenAI and Agentic AI systems that directly support business goals.  

• Establish and promote best practices in AI development and responsible AI deployment .  

• Drive innovation by identifying emerging technologies and translating research into practical applications.  

• Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs.  

• Prototype and deliver AI-powered applications (e.g., web apps, dashboards, visualizations) that enable data-driven decisions.  

• Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating insights effectively.  

• Mentor and develop junior talent , fostering a culture of technical excellence and continuous learning.  

Candidate Requirements:  

• Recognized industry expertise in AI/ML, with a track record of delivering impactful solutions.  

• 7+ years of experience in data science, machine learning, or AI engineering roles.  

• Deep understanding of machine learning, statistics, NLP, optimization, and LLMs.  

• Hands-on experience with AI deployment and orchestration frameworks and protocols (e.g., MLflow , llama-index, MCP ).  

• Extensive experience testing LLM behavior across a variety of foundation models and benchmarks.  

• Experience building AI-powered applications and collaborating with software engineers and product managers.  

• Strong programming skills in Python. Proficiency in R is a plus.  

• Proficiency in SQL and database design ; familiarity with cloud-native data platforms , vector databases, and semantic search is a plus.  

• Exceptional communication skills , with the ability to explain complex concepts to non-technical stakeholders.  

Education:  
M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field.  

MassMutual is an equal employment opportunity employer. We welcome all persons to apply.

If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

Position Summary:  

MassMutual’s Data Science team is seeking an exceptional, highly motivated and self-directed AI Engineer . In this role, you will perform data-driven research, problem solving, and algorithm development through the systematic application of mathematics, statistics and computer science as well as cutting edge A I methods and technologies. Results of this work manifest themselves in a variety of ways, including interactive visualizations, presentations, publications, web applications, predictive algorithms, APIs and other at scale AI applications.  

This is an opportunity to join a cross-functional team with diverse backgrounds in applied math, statistics, computer science and physics that have been tasked with developing, maintaining and extracting knowledge and insights from a strategic data asset. Our work revolves around studying fundamental and high impact business questions that directly impact the direction of the company and industry at large.  

Overall Responsibility:  

• Lead ML/AI solutions leveraging mathematics, statistics, LLM and other quantitative tools from initial conception to implementation.  

• Deploy Generative AI/LLM models at scale to achieve business objectives  

• Evaluate, implement and advise on best practices in AI development  

• Influence team strategies through innovation and research.  

• Collaborate with data and software engineers to enable deployment of AI solutions at a large scale.  

• Develop efficient and scalable Python/R/SQL code and backend API Create prototype AI systems, visualizations, and web applications  

• Partner with senior leadership to ensure alignment of data science initiatives and company strategy  

• Lead projects and research initiatives  

• Disseminate findings to non-technical audiences through a variety of media, including interactive visualizations, reports and presentations  

• Mentor junior team members   

Candidate Requirements:  

• Industry recognized expertise  

• 7+ years working with data and relevant computational frameworks and systems  

• 7+ years applying math, stats, probabilistic models and machine learning algorithms to solve complex problems  

• Proficient in efficient Python coding (OOP, pandas, scikit-learn, pyspark , etc.), and R is a plus  

• Exceptional problem-solving skills and willingness to learn new concepts, methods, and technologies  

• Knowledge of prototyping web application and able to work closely with software engineers  

• Experience in database design and SQL  

• Familiar with the following areas: machine learning, probability and statistics, natural language processing, operation research , deep learning, GenAI /large language models, and AI agents  

• Experience with AI solution development and deployment using various framework and platforms.  

• Ability to work in a highly collaborative environment  

• Outstanding communication skills  

• Experience in Investments and/or Wealth Management is preferred  

Education - M.S. or Ph.D. in a quantitative discipline (Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, etc.) is required  

#LI-MC1

MassMutual is an equal employment opportunity employer. We welcome all persons to apply.

If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

Overall Responsibilities:  

• Architect and lead end-to-end ML/AI solutions s upporting life insurance underwriting using LLMs, deep learning, and probabilistic modeling—from ideation to production .  

• Deploy scalable GenAI and Agentic AI systems that directly support business goals.  

• Establish and promote best practices in AI development and responsible AI deployment .  

• Drive innovation by identifying emerging technologies and translating research into practical applications.  

• Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs.  

• Prototype and deliver AI-powered applications (e.g., web apps, dashboards, visualizations) that enable data-driven decisions.  

• Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating insights effectively.  

• Mentor and develop junior talent , fostering a culture of technical excellence and continuous learning.  

Candidate Requirements:  

• Recognized industry expertise in AI/ML, with a track record of delivering impactful solutions.  

• 7+ years of experience in data science, machine learning, or AI engineering roles.  

• Deep understanding of machine learning, statistics, NLP, optimization, and LLMs.  

• Hands-on experience with AI deployment and orchestration frameworks and protocols (e.g., MLflow , llama-index, MCP ).  

• Extensive experience testing LLM behavior across a variety of foundation models and benchmarks.  

• Experience building AI-powered applications and collaborating with software engineers and product managers.  

• Strong programming skills in Python. Proficiency in R is a plus.  

• Proficiency in SQL and database design ; familiarity with cloud-native data platforms , vector databases, and semantic search is a plus.  

• Exceptional communication skills , with the ability to explain complex concepts to non-technical stakeholders.  

Education:  
M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field.  

MassMutual is an equal employment opportunity employer. We welcome all persons to apply.

If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

Position Summary:  

MassMutual’s Data Science team is seeking an exceptional, highly motivated and self-directed AI Engineer . In this role, you will perform data-driven research, problem solving, and algorithm development through the systematic application of mathematics, statistics and computer science as well as cutting edge A I methods and technologies. Results of this work manifest themselves in a variety of ways, including interactive visualizations, presentations, publications, web applications, predictive algorithms, APIs and other at scale AI applications.  

This is an opportunity to join a cross-functional team with diverse backgrounds in applied math, statistics, computer science and physics that have been tasked with developing, maintaining and extracting knowledge and insights from a strategic data asset. Our work revolves around studying fundamental and high impact business questions that directly impact the direction of the company and industry at large.  

Overall Responsibility:  

• Lead ML/AI solutions leveraging mathematics, statistics, LLM and other quantitative tools from initial conception to implementation.  

• Deploy Generative AI/LLM models at scale to achieve business objectives  

• Evaluate, implement and advise on best practices in AI development  

• Influence team strategies through innovation and research.  

• Collaborate with data and software engineers to enable deployment of AI solutions at a large scale.  

• Develop efficient and scalable Python/R/SQL code and backend API Create prototype AI systems, visualizations, and web applications  

• Partner with senior leadership to ensure alignment of data science initiatives and company strategy  

• Lead projects and research initiatives  

• Disseminate findings to non-technical audiences through a variety of media, including interactive visualizations, reports and presentations  

• Mentor junior team members   

Candidate Requirements:  

• Industry recognized expertise  

• 7+ years working with data and relevant computational frameworks and systems  

• 7+ years applying math, stats, probabilistic models and machine learning algorithms to solve complex problems  

• Proficient in efficient Python coding (OOP, pandas, scikit-learn, pyspark , etc.), and R is a plus  

• Exceptional problem-solving skills and willingness to learn new concepts, methods, and technologies  

• Knowledge of prototyping web application and able to work closely with software engineers  

• Experience in database design and SQL  

• Familiar with the following areas: machine learning, probability and statistics, natural language processing, operation research , deep learning, GenAI /large language models, and AI agents  

• Experience with AI solution development and deployment using various framework and platforms.  

• Ability to work in a highly collaborative environment  

• Outstanding communication skills  

• Experience in Investments and/or Wealth Management is preferred  

Education - M.S. or Ph.D. in a quantitative discipline (Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, etc.) is required  

#LI-MC1

MassMutual is an equal employment opportunity employer. We welcome all persons to apply.

If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

Position Summary:  

MassMutual’s Data Science team is seeking an exceptional, highly motivated and self-directed AI Engineer . In this role, you will perform data-driven research, problem solving, and algorithm development through the systematic application of mathematics, statistics and computer science as well as cutting edge A I methods and technologies. Results of this work manifest themselves in a variety of ways, including interactive visualizations, presentations, publications, web applications, predictive algorithms, APIs and other at scale AI applications.  

This is an opportunity to join a cross-functional team with diverse backgrounds in applied math, statistics, computer science and physics that have been tasked with developing, maintaining and extracting knowledge and insights from a strategic data asset. Our work revolves around studying fundamental and high impact business questions that directly impact the direction of the company and industry at large.  

Overall Responsibility:  

• Lead ML/AI solutions leveraging mathematics, statistics, LLM and other quantitative tools from initial conception to implementation.  

• Deploy Generative AI/LLM models at scale to achieve business objectives  

• Evaluate, implement and advise on best practices in AI development  

• Influence team strategies through innovation and research.  

• Collaborate with data and software engineers to enable deployment of AI solutions at a large scale.  

• Develop efficient and scalable Python/R/SQL code and backend API Create prototype AI systems, visualizations, and web applications  

• Partner with senior leadership to ensure alignment of data science initiatives and company strategy  

• Lead projects and research initiatives  

• Disseminate findings to non-technical audiences through a variety of media, including interactive visualizations, reports and presentations  

• Mentor junior team members   

Candidate Requirements:  

• Industry recognized expertise  

• 7+ years working with data and relevant computational frameworks and systems  

• 7+ years applying math, stats, probabilistic models and machine learning algorithms to solve complex problems  

• Proficient in efficient Python coding (OOP, pandas, scikit-learn, pyspark , etc.), and R is a plus  

• Exceptional problem-solving skills and willingness to learn new concepts, methods, and technologies  

• Knowledge of prototyping web application and able to work closely with software engineers  

• Experience in database design and SQL  

• Familiar with the following areas: machine learning, probability and statistics, natural language processing, operation research , deep learning, GenAI /large language models, and AI agents  

• Experience with AI solution development and deployment using various framework and platforms.  

• Ability to work in a highly collaborative environment  

• Outstanding communication skills  

• Experience in Investments and/or Wealth Management is preferred  

Education - M.S. or Ph.D. in a quantitative discipline (Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, etc.) is required  

#LI-MC1

MassMutual is an equal employment opportunity employer. We welcome all persons to apply.

If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

Position Summary:  

MassMutual’s Data Science team is seeking an exceptional, highly motivated and self-directed AI Engineer . In this role, you will perform data-driven research, problem solving, and algorithm development through the systematic application of mathematics, statistics and computer science as well as cutting edge A I methods and technologies. Results of this work manifest themselves in a variety of ways, including interactive visualizations, presentations, publications, web applications, predictive algorithms, APIs and other at scale AI applications.  

This is an opportunity to join a cross-functional team with diverse backgrounds in applied math, statistics, computer science and physics that have been tasked with developing, maintaining and extracting knowledge and insights from a strategic data asset. Our work revolves around studying fundamental and high impact business questions that directly impact the direction of the company and industry at large.  

Overall Responsibility:  

• Lead ML/AI solutions leveraging mathematics, statistics, LLM and other quantitative tools from initial conception to implementation.  

• Deploy Generative AI/LLM models at scale to achieve business objectives  

• Evaluate, implement and advise on best practices in AI development  

• Influence team strategies through innovation and research.  

• Collaborate with data and software engineers to enable deployment of AI solutions at a large scale.  

• Develop efficient and scalable Python/R/SQL code and backend API Create prototype AI systems, visualizations, and web applications  

• Partner with senior leadership to ensure alignment of data science initiatives and company strategy  

• Lead projects and research initiatives  

• Disseminate findings to non-technical audiences through a variety of media, including interactive visualizations, reports and presentations  

• Mentor junior team members   

Candidate Requirements:  

• Industry recognized expertise  

• 7+ years working with data and relevant computational frameworks and systems  

• 7+ years applying math, stats, probabilistic models and machine learning algorithms to solve complex problems  

• Proficient in efficient Python coding (OOP, pandas, scikit-learn, pyspark , etc.), and R is a plus  

• Exceptional problem-solving skills and willingness to learn new concepts, methods, and technologies  

• Knowledge of prototyping web application and able to work closely with software engineers  

• Experience in database design and SQL  

• Familiar with the following areas: machine learning, probability and statistics, natural language processing, operation research , deep learning, GenAI /large language models, and AI agents  

• Experience with AI solution development and deployment using various framework and platforms.  

• Ability to work in a highly collaborative environment  

• Outstanding communication skills  

• Experience in Investments and/or Wealth Management is preferred  

Education - M.S. or Ph.D. in a quantitative discipline (Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, etc.) is required  

#LI-MC1

MassMutual is an equal employment opportunity employer. We welcome all persons to apply.

If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

Overall Responsibilities:  

• Architect and lead end-to-end ML/AI solutions s upporting life insurance underwriting using LLMs, deep learning, and probabilistic modeling—from ideation to production .  

• Deploy scalable GenAI and Agentic AI systems that directly support business goals.  

• Establish and promote best practices in AI development and responsible AI deployment .  

• Drive innovation by identifying emerging technologies and translating research into practical applications.  

• Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs.  

• Prototype and deliver AI-powered applications (e.g., web apps, dashboards, visualizations) that enable data-driven decisions.  

• Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating insights effectively.  

• Mentor and develop junior talent , fostering a culture of technical excellence and continuous learning.  

Candidate Requirements:  

• Recognized industry expertise in AI/ML, with a track record of delivering impactful solutions.  

• 7+ years of experience in data science, machine learning, or AI engineering roles.  

• Deep understanding of machine learning, statistics, NLP, optimization, and LLMs.  

• Hands-on experience with AI deployment and orchestration frameworks and protocols (e.g., MLflow , llama-index, MCP ).  

• Extensive experience testing LLM behavior across a variety of foundation models and benchmarks.  

• Experience building AI-powered applications and collaborating with software engineers and product managers.  

• Strong programming skills in Python. Proficiency in R is a plus.  

• Proficiency in SQL and database design ; familiarity with cloud-native data platforms , vector databases, and semantic search is a plus.  

• Exceptional communication skills , with the ability to explain complex concepts to non-technical stakeholders.  

Education:  
M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field.  

MassMutual is an equal employment opportunity employer. We welcome all persons to apply.

If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

Overall Responsibilities:  

• Architect and lead end-to-end ML/AI solutions s upporting life insurance underwriting using LLMs, deep learning, and probabilistic modeling—from ideation to production .  

• Deploy scalable GenAI and Agentic AI systems that directly support business goals.  

• Establish and promote best practices in AI development and responsible AI deployment .  

• Drive innovation by identifying emerging technologies and translating research into practical applications.  

• Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs.  

• Prototype and deliver AI-powered applications (e.g., web apps, dashboards, visualizations) that enable data-driven decisions.  

• Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating insights effectively.  

• Mentor and develop junior talent , fostering a culture of technical excellence and continuous learning.  

Candidate Requirements:  

• Recognized industry expertise in AI/ML, with a track record of delivering impactful solutions.  

• 7+ years of experience in data science, machine learning, or AI engineering roles.  

• Deep understanding of machine learning, statistics, NLP, optimization, and LLMs.  

• Hands-on experience with AI deployment and orchestration frameworks and protocols (e.g., MLflow , llama-index, MCP ).  

• Extensive experience testing LLM behavior across a variety of foundation models and benchmarks.  

• Experience building AI-powered applications and collaborating with software engineers and product managers.  

• Strong programming skills in Python. Proficiency in R is a plus.  

• Proficiency in SQL and database design ; familiarity with cloud-native data platforms , vector databases, and semantic search is a plus.  

• Exceptional communication skills , with the ability to explain complex concepts to non-technical stakeholders.  

Education:  
M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field.  

MassMutual is an equal employment opportunity employer. We welcome all persons to apply.

If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

**AI Engineer**
**Location:** This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.
Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.
_PLEASE NOTE: This position is not eligible for current or future visa sponsorship._
The **AI Engineer** is responsible for analyzing and modeling organizational data for the Artificial Intelligence (AI) function to draw business insights, which can be used to make business decisions.
**How you will make an impact:**
+ Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
**Minimum Requirements:**
+ Requires a Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent degree and 4 or more years of experience; or any combination of education and experience in configuration management, which would provide an equivalent background.
**Preferred Skills, Capabilities, and Experiences:**
As part of AI Governance
+ Ability to work with various stakeholders to articulate technical requirements.
+ Experience with various cloud environments - AWS, GCP, Azure while primary focus and development would be in AWS.
+ Able to translate the technical requirements into a working AI Governance platform with guidance from leadership.
+ Able to understand and evaluate data.
+ Able to migrate data from various platforms into one common platform through transformation and standardization.
+ Able to build a visual tool/dashboard for a more comprehensive vision of AI Governance.
Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.
Who We Are
Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.
How We Work
At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.
We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.
Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.
The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.
Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact for assistance.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.