AI Engineer

MassMutual is hiring an AI Engineer in Springfield, MA (hybrid) with a salary range of USD 141,300 to 185,400 per year to design, develop, and deploy AI and ML solutions across the enterprise using LLMs, deep learning, agentic AI, and probabilistic modeling, owning initiatives from problem framing to production with minimal supervision.

Responsibilities

• Lead the end to end design, development, and delivery of AI solutions that address high value business problems across the enterprise.
• Apply machine learning, generative and agentic AI, and LLM based techniques to real world challenges.
• Scope problems, build and evaluate solutions, and bring them into production with limited supervision.
• Take full ownership of defined initiatives, driving quality and performance from development through deployment.
• Design and deliver end to end AI/ML solutions for defined business use cases using LLMs, deep learning, agentic AI, and probabilistic modeling, with lifecycle ownership.
• Frame AI problems independently, establishing success metrics and evaluation criteria with stakeholders before and during development.
• Design rigorous evaluations of AI system performance, including experiments, model benchmarking, and quantitative analysis to support decisions.
• Build rapid prototypes to test approaches and advance validated solutions into production grade applications such as intelligent interfaces, dashboards, and automated pipelines.
• Follow best practices in AI development, responsible deployment, and production engineering, contributing to team 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 through documentation, peer feedback, and mentoring for less experienced colleagues.

Requirements

• Minimum 4 years of experience in data science, machine learning, or AI engineering with a track record of delivering AI/ML solutions at scale and with independence.
• At least 4 years in ML, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and evaluating LLM performance across foundation models.
• 4+ years building and deploying production AI systems, including model integration, API development, and cloud based infrastructure.
• 4+ years of Python programming with a focus on clean, well tested, production quality code.
• Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field.

Technologies

• Python
• SQL
• Bedrock AgentCore
• AWS Strands
• Azure
• MCP/A2A protocols
• Vector databases
• Semantic search

Benefits

• Medical, dental, 401(k), and generous vacation time.
• Three paid days for volunteering.
• WellBeing Wallet valued at 1,250 dollars annually.
• Up to 320 hours of caregiver leave.
• MassMutual Foundation donation matching up to 5,000 dollars per year.
• Qualified Commuter Program with before tax commuting expenses.
• Commuter wallet option for Boston and New York City campuses.

Paid Time Off

• Take care time to address personal needs, illness, or mental health concerns.

Health & Well-Being

• Robust medical and dental coverage with access to personalized mental health resources and coaching, plus wellness reimbursements up to 1,250 dollars annually.

Financial Well-Being

• 401(k) plan with up to 10 percent total contribution, including a 5 percent company match and a 5 percent annual contribution, plus educational assistance.

Taking Care

• Generous maternity and parental leaves, bereavement leave, and up to 320 hours of caregiver leave.

Giving Back

• Three paid volunteer days each year and MassMutual Foundation donation matching up to 5,000 dollars annually.

Commuter Benefits

• Qualified Commuter Program for before tax commuting expenses and a commuter wallet option for Boston and NYC campuses.