AI Engineer at MassMutual

Job Description

AI Engineer

Full Time Hybrid (Boston, NYC, Springfield)

The Opportunity

This is a unique opportunity to work alongside experts in applied mathematics, statistics, computer science, and physics-collaborating on initiatives that shape the future of MassMutual and the life insurance industry at large.

The Team

MassMutual's Data Science team is seeking an impact-driven AI Engineer to join our high-performing, cross-functional team. In this role, you will develop and deploy advanced AI solutions that drive strategic decision-making and business transformation. You'll apply cutting-edge techniques in machine learning, generative AI, and large language models (LLMs) to solve complex, high-value problems across the enterprise.

The Impact

• Develop and deploy end-to-end ML/AI solutions supporting various use cases for a large enterprise 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.
• 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.

Minimum Requirements:

• 5+ years proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search is a plus.
• 5+ years skills in Python. Proficiency in R is a plus.
• 5+ years experience Deep understanding of machine learning, statistics, NLP, optimization, and LLMs.
• 3+ years of experience in data science, machine learning, or AI engineering roles.
• 2+ years experience Hands-on with AI deployment and orchestration frameworks and protocols (e.g., agentcore, strands, langchain, MCP, A2A).
• 2+ years extensive experience and background in AI agents and LLM systems, including tool use, multi-step workflows, RAG, prompt management, and evaluating LLM and agentic behavior across a variety of foundation models and benchmarks.
• 2+ years experience building AI-powered applications and collaborating with software engineers and product managers.
• 2+ years experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes
• M.S. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field.

Ideal Qualifications

• Track record of delivering impactful solutions.
• Exceptional communication skills, with the ability to explain complex concepts to non-technical stakeholders.