AI Engineer

MassMutual • Boston, MA

11d • Hybrid

About The Position

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.

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.

Nice To Haves

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

Responsibilities

• 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.

Benefits

• At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees.
• Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component.
• A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits.
• For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level