Mutual Opportunities
Lead AI Engineer
Springfield, Massachusetts; Boston, Massachusetts; New York, New York
Thank you to our employees for voting us one of the top places to work in Massachusetts for seven consecutive years!
Overview
A career with us means you’ll work alongside exceptional people and be empowered to reach your professional and personal goals. Our employees are at the foundation of what enables MassMutual to deliver on our purpose to help people secure their futures and protect the ones they love.
We embrace the idea that we all are stronger and better through our support for one another. We strive to create a culture where employees feel valued and are celebrated for who they are.
“Since our founding in 1851, mutuality has put our policyowners at the center of everything we do. At our core, we’re a company of people helping people in their time of need, and that spirit extends to the culture we’ve built at our company. Our employees support and rely on each other each day, collaborating to deliver the best solutions for our customers and help millions more secure their future and protect the ones they love.”
Job Description
MassMutual’s AI & Data Science team is seeking an impact-drivenLead AI Engineerto join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production scaling of advanced AIsolutionsthat solve complex, high-value problems across the enterprise.You’llarchitect and deliver generative AI, agentic AI, and LLM-based systemsbyapplying rigorous scientific methods, writing high-quality production code, and communicating results to seniorleadership.
This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science, collaborating on initiatives that shape the future of MassMutual and the life insurance industry at large. The ideal candidate brings deepexpertisein machine learning and AI science, paired with the software engineering skills to take solutions from researchprototypesto reliable, scalable productionsystems.
Overall Responsibilities
Architect, build,and lead end-to-end AI solutionssupporting a range of enterprise use cases—from ideation through production deployment and monitoring—using LLMs,agentic AI, machinelearning,and probabilistic modelingwith accountability for reliability, performance, and maintainability.
Design and conduct rigorous evaluationsof AI system performance,including experimentation, benchmarking across foundation models, and quantitative analysis,tovalidateapproaches and inform technical decisions.
Drive innovationbyidentifyingemergingtechnologies, translatingcutting-edgeresearch into practical applications, andestablishingteam-wide best practices in AI development and responsible AI deployment.
Buildrapidprototypes to test andvalidateAI approachesand deliver production-grade AI-powered applications (e.g., intelligent interfaces,dashboards, automatedworkflows) when solutions proveviable.
Collaboratewith engineering teamsto build robust, production-grade AI pipelines and APIs that integrate into the broader enterprise technology ecosystem.
Influence senior leadershipby aligning AI initiatives with enterprise strategy and communicatinginsights effectively.
Mentor and develop junior talent, fostering a culture of technical excellence, scientific rigor, and continuous learning.
Candidate Qualifications — Required
7+ years of experiencein data science, machine learning, or AI engineering, witha track recordof delivering impactful AI/ML solutions at scale.
Deepexpertisein machine learning, statistics, NLP, and LLMs,including generative AI, agentic architectures, prompt engineering, and LLM evaluation across a variety of foundation models and benchmarks.
Demonstrated ability tobuild,deploy, and scale productionofAI systemsfromarchitectureplanning through orchestration, monitoring, and end-user delivery.
Strong programming skills in Python, with the ability to write clean, well-tested, production-quality code.Familiaritywith Docker, Kubernetes, andotherorchestration anddeploymentframeworks.
Exceptional communication skills, with the ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership.
Education - M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field.Candidates with exceptional research credentials—such as published work, significant open-source contributions, or a strong record of scientific rigor applied in industry—are strongly encouraged to apply.
Candidate Qualifications — Preferred
Familiarity with agentic AI toolingecosystems,such asBedrockAgentCore, AWS Strands,Azure,andMCP/A2A protocols.
Experience with the development and evaluation of AI systems in a regulated industry, exceeding compliance standards for AI and privacy.
Breadth across AI and data science methods,includingtraditionalML, causal inference, optimization, and Bayesian approaches,with comfort moving across techniques as problems demand.
Proficiencyin SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search.
#LI-MC1
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
MassMutual will accept applications on an ongoing basis until such time as a candidate has been offered employment. The job description includes the main duties of this position, which may evolve over time. You may be required to perform other duties not listed.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.
Salary Range: $172,000-$225,700
Hiring Process
Explore
Explore our open jobs by clicking 'search jobs' to find a position that aligns with your experience and skills. You may also consider joining our Talent Network.
Apply
Click the “apply” button on that job posting to complete and submit your application. Your application will be reviewed by a recruiter, which, due to the volume of applications received, may take some time as we carefully consider each application.
Screen
After your application has been reviewed, if you meet the qualifications for the role, a recruiter will reach out to you to start a conversation.
Interview
If you are invited for an interview, you will be scheduled to meet with the hiring manager and hiring team.
Offer
If you are extended an offer to join MassMutual and accept, your start will be contingent upon a satisfactory background check.
Hire
If you accept the offer, we will be so excited to welcome you to the MassMutual community!
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
By the numbers*
- 85% of employee respondents say they are proud to work at MassMutual
-
90
% of employee respondents say the work they do at MassMutual is meaningful - 85% of employee respondents say they feel encouraged to come up with new and better ways of doing things
*Source: 2025 MassMutual employee engagement survey
Award-Winning Culture
MassMutual is guided by a single purpose: We help people secure their future and protect the ones they love. As a company operated for the benefit of our members and participating policyowners, we are defined by mutuality and our vision to provide financial well-being for all Americans. It’s more than our company structure — it’s our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources and rely on each other when it counts.
We strive to build a thriving community where everyone is valued, included, and feels that they belong.
At MassMutual, we Live Mutual.
How We Work
MassMutual’s flexible workplace approach combines the importance of connecting in person and the flexibility of working remotely. Our hybrid model puts collaboration first with employees coming in at least three days per week to our spectacular campus settings and also enjoying the flexibility of remote Fridays, company-wide remote weeks, and a bank of flexible remote weeks to use throughout the year.
Benefits for the whole you (and your loved ones)
There’s more to your life than your job and there’s more to your aspirations than a paycheck. We take a holistic view of compensation and benefits that provides the flexibility to create a healthy balance in your life for work, family, and community. We offer the benefits you’d expect, like medical, dental, 401(k), and generous vacation time, but we also offer ones you might not expect, like three paid days for volunteering, a $1,250 annual Well-Being Wallet, and up to 320 hours of caregiver leave.
Explore some of our offerings below. Benefit details can be found here.
Why MassMutual?
Candy
Marketing Consultant
Atsam
Head of Advisor/Client Experience & Business Excellence
Erica
Head of Procurement
where we work
Springfield Office
1295 State Street, Springfield, MA
Boston Office
10 Fan Pier Blvd, Boston, MA
New York Office
2 Park Ave,
New York, NY
Virtual
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