The Role
Design, build, and deploy end-to-end AI/ML solutions using LLMs, agentic and probabilistic methods. Scope problems, prototype, evaluate and benchmark models, integrate production APIs and cloud infrastructure, apply responsible AI practices, and communicate results to stakeholders while mentoring colleagues.
Summary Generated by Built In
Job Description
AI Engineer | Data Science & AI Engineering
Full-Time Hybrid (3 days/per week in office)
The Opportunity
MassMutual's AI & Data Science team is seeking a skilled AI Engineer to join our high-performing, cross-functional team. In this role, you will own the design, development, and delivery of AI solutions that address complex, high-value business problems across the enterprise. You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world challenges, working independently to scope problems, build and evaluate solutions, and bring them into production. At this level, you are expected to take full ownership of defined initiatives with minimal supervision, driving quality and performance from development through deployment.
The Team
This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. The team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable.
The Impact
The Minimum Qualifications
The Ideal Qualifications
What to Expect as Part of MassMutual and the Team
#LI-SC1
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.
California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
Salary Range: $141,300-$185,400
AI Engineer | Data Science & AI Engineering
Full-Time Hybrid (3 days/per week in office)
The Opportunity
MassMutual's AI & Data Science team is seeking a skilled AI Engineer to join our high-performing, cross-functional team. In this role, you will own the design, development, and delivery of AI solutions that address complex, high-value business problems across the enterprise. You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world challenges, working independently to scope problems, build and evaluate solutions, and bring them into production. At this level, you are expected to take full ownership of defined initiatives with minimal supervision, driving quality and performance from development through deployment.
The Team
This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. The team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable.
The Impact
- Design, build, and deliver end-to-end AI/ML solutions for defined business use cases, using LLMs, deep learning, agentic AI, and probabilistic modeling, with ownership of quality and performance from development through deployment.
- Frame and scope AI problems independently, defining success metrics and evaluation criteria in collaboration with stakeholders before and during solution development.
- Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across models, and quantitative analysis, to validate approaches and support sound technical decisions.
- Build rapid prototypes to test AI approaches and advance validated solutions into production-grade applications (e.g., intelligent interfaces, dashboards, automated pipelines).
- Apply best practices in AI development, responsible AI deployment, and production engineering, contributing to team-wide standards and reusable frameworks.
- Communicate findings and recommendations clearly to technical peers and non-technical stakeholders, translating quantitative results into actionable insights.
- Contribute to team knowledge and development, including peer feedback, documentation, and knowledge sharing with less experienced colleagues.
The Minimum Qualifications
- 4+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering AI/ML solutions independently and at scale.
- 4+ years of experience across the following areas:
- Machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and evaluation of LLM performance across foundation models.
- Building and deploying production AI systems, including model integration, API development, and cloud-based infrastructure.
- Python programming, with the ability to write clean, well-tested, production-quality code.
- Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field.
The Ideal Qualifications
- Experience with agentic AI frameworks and tooling, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols.
- Breadth across AI and data science methods, including classical ML, causal inference, optimization, and Bayesian approaches, with comfort working across techniques as problems demand.
- Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search.
- Master's degree or equivalent depth demonstrated through research, applied projects, or prior work. Candidates with a Master's may be considered with fewer years of professional experience.
- Applied research credentials, such as published work, significant open-source contributions, or a demonstrated record of scientific rigor in industry.
- Clear and effective communication skills, with the ability to explain technical concepts and present findings to both technical and non-technical audiences.
What to Expect as Part of MassMutual and the Team
- Regular meetings with the AI & Data Science team
- Focused one-on-one meetings with your manager
- Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups
- Access to learning content on Degreed and other informational platforms
- Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits
#LI-SC1
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.
California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
Salary Range: $141,300-$185,400
Skills Required
- 4+ years of experience in data science, machine learning, or AI engineering with delivery of AI/ML solutions
- 4+ years experience in machine learning, statistics, NLP, LLMs, generative AI, agentic architectures, prompt engineering, and LLM evaluation
- 4+ years building and deploying production AI systems, including model integration, API development, and cloud-based infrastructure
- Proficient Python programming, able to write clean, well-tested, production-quality code
- Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or related quantitative field
- Experience with agentic AI frameworks and tooling (e.g., Bedrock AgentCore, AWS Strands, Azure, MCP/A2A protocols)
- Breadth across AI/data science methods including classical ML, causal inference, optimization, and Bayesian approaches
- Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search
- Master's degree or equivalent applied research/project depth
- Applied research credentials (published work, significant open-source contributions) and strong communication skills
MassMutual Compensation & Benefits Highlights
How does MassMutual ensure its pay and bonus plans are competitive?
MassMutual provides market-competitive salaries and generous incentive pay opportunities for all employees. Whether an employee is just starting out, transitioning to a new career, or joining us as a seasoned leader — we value their contributions.
- Competitive Salary and Bonus offerings: MassMutual’s base salaries reward and recognize employees’ experience, skills and performance. Our salary ranges are regularly benchmarked within our industry and the broader job market to ensure competitiveness. Additionally, all MassMutual employees have the opportunity to receive competitive, performance-based bonuses, either annually or more frequently.
- Annual Incentive Plan (AIP): AIP awards are discretionary and based on individual and company performance, with opportunities to earn above-target bonuses in years with exceptional results. These awards consider not only what results a person achieved, but how they achieved them, rewarding behaviors that help create a productive and welcoming work environment for everyone.
- Employees in sales roles participate in our variable incentive compensation (VIC) program instead of AIP. VIC provides incentive pay awards commensurate with results for individuals in roles that directly influence sales.
- Employees in sales roles participate in our variable incentive compensation (VIC) program instead of AIP. VIC provides incentive pay awards commensurate with results for individuals in roles that directly influence sales.
- Pay transparency and pay equity: MassMutual publishes salary ranges in job postings and is committed to promoting pay equity. This includes providing pay equity training to managers, reviewing the pay of employees who perform similar work as a standard practice when making compensation recommendations, and partnering regularly with independent external experts to check our work.
- Benefits as part of Total Rewards: MassMutual invests in every aspect of their employees’ well-being, providing a rewards package that goes far beyond a paycheck to support them physically, mentally, and financially. Their robust healthcare, retirement and protection benefits provide a range of support through all of life’s big moments — and, over the years, they have expanded their pioneering leave programs so employees can better care for themselves and the people they love.
- Health benefits: MassMutual offers a comprehensive suite of health and wellness benefits, focusing on solutions that support holistic well-being, aimed at improving access and outcomes for all, and provide flexibility to meet our employees’ and their families’ unique needs. Employees value our wide array of benefits, with one sales assistant citing “great benefits and lots of flexibility,” and another employee describing the company’s “good leadership and benefits.” (MassMutual Careers Benefits; Glassdoor). In a 2026 employee survey, one employee noted “The organization offers a wide range of programs and benefits that meaningfully support employees and foster a positive, inclusive culture.”
- Retirement and financial benefits: MassMutual provides a 401(k) plan contribution of up to 10% of eligible compensation, including up to 5% company match on employee deferrals and, for all eligible employees, a 5% annual company contribution. The company also treats eligible student loan payments like 401(k) contributions for matching purposes. The company provides a Retiree Health Reimbursement Account to eligible employees; monthly credits start at age 45. (MassMutual Careers Benefits; MassMutual 2025 Annual Report)
- Additional health programs: MassMutual offers additional benefits such as a health savings account, access to a broad network of mental health resources and providers for employees and their family members, and resources like medical and surgery decision support, healthcare navigation services, and more. All employees also have access to a Well-Being Wallet, where they can be reimbursed for up to $1,250 per year for eligible physical, mental, or financial wellness related expenses.
- Other benefits: Employees have access to an array of resources to help strengthen their overall well-being and protect the ones they love, at every stage of life. Whether growing their family, volunteering in their community, planning their legacy, or looking to save on everyday expenses like pet or auto insurance, we offer financial benefits and corporate discounts to help.
- Employee Feedback on Benefits: MassMutual conducts regular employee surveys, and benefits continuously receive positive feedback. In their 2026 survey, one employee said “...the total benefits program here at MassMutual has to be one of the best, if not the very best. It seems this company goes out of its way to make sure their employees are well taken care of." With another employee sharing “The Well-Being Wallet, education reimbursement, time off & leave programs are top notch and unlike anything I've experienced”.
- Time off & leaves: MassMutual’s flexible time-off and leave programs support employees’ well-being, help them care for loved ones, and balance personal priorities. Offerings include inclusive caregiver, bereavement, and other essential leaves; generous parental leave and financial support for adoption and surrogacy; up to 24 hours of paid volunteer time annually; and generous vacation, flexible holidays, companywide paid holidays and remote work weeks, and five “take care days.”
- External signals:
- Benefits value: Employees on external review sites regularly highlight benefits as a strength, with reviews calling out “excellent benefits,” “great benefits” and a “great benefits package.” (Glassdoor; Indeed)
- Benefits and retention: Employees surveyed on external review sites rate MassMutual’s perks and benefits an A-, with 100% saying perks and benefits play a role in staying at the company. (Comparably)
Bottom line: MassMutual supports employee wellbeing through competitive salaries and bonus opportunities, strong retirement contributions, and benefits designed to support the financial, physical, and mental well-being of employees and their families.
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The Company
What We Do
Since 1851, MassMutual’s commitment has always been to help people protect their families, support their communities, and help one another. This is why we want to inspire people to Live Mutual. We’re people helping people. Together, we’re stronger.
Why Work With Us
MassMutual has the financial security and stability of a 170+ year old company, with the culture and energy of a startup. We work every day with the customer front of mind to build the best digital experience in the industry.
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MassMutual Teams
MassMutual Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We believe in capitalizing on the best of being together in our offices as well as personal flexibility. Our workplace philosophy puts office collaboration first, combined with flexibility to work remotely.
Typical time on-site:
3 days a week
