Lead AI Engineer

About the Role

MassMutual's Data Science team is seeking an impact-driven Lead AI Engineer to design and deploy advanced AI solutions that drive strategic decision-making and business transformation. You will architect end-to-end ML/AI solutions for the enterprise using LLMs, deep learning, and probabilistic modeling, taking projects from ideation to production.

Responsibilities

• Architect and lead end-to-end ML/AI solutions supporting various use cases 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
• Drive innovation by identifying emerging technologies and translating research into practical applications
• Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs
• Prototype and deliver AI-powered applications (web apps, dashboards, visualizations) that enable data-driven decisions
• Influence senior leadership by aligning AI initiatives with enterprise strategy
• Mentor and develop junior talent, fostering technical excellence and continuous learning

Candidate Requirements

Experience

• Recognized industry expertise in AI/ML with a track record of delivering impactful solutions
• 7+ years in data science, machine learning, or AI engineering roles
• Deep understanding of machine learning, statistics, NLP, optimization, and LLMs
• Hands-on experience with AI deployment and orchestration frameworks (MLflow, llama-index, MCP)
• Extensive experience testing LLM behavior across foundation models and benchmarks
• Experience building AI-powered applications and collaborating with software engineers and product managers

Technical Skills

• Strong Python programming; R proficiency is a plus
• Proficiency in SQL and database design
• Familiarity with cloud-native data platforms, vector databases, and semantic search (preferred)

Education

• M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or related quantitative field

Soft Skills

• Exceptional communication skills explaining complex concepts to non-technical stakeholders

Location

Hybrid, 3 days/week on-site in Springfield, MA (also Boston, MA and New York, NY).

Compensation: $172,000 - $225,700.