Lead AI Engineer

Home/Jobs/Lead AI Engineer

Lead AI Engineer

MassMutual

Springfield / Boston / New York / Massachusetts

7+ years

1 day ago

$207.2K–271.1K/yr

Full-time

Onsite

Skills Required LLM

RAG

Gen AI

Agentic AI

Prompt Engineering

Vector Database

Machine Learning

Statistics

NLP

Python

Docker

Kubernetes

AWS

Azure

SQL

Description MassMutual is seeking a Lead AI Engineer to help design, deploy, and scale advanced AI solutions across the enterprise. The role combines generative AI, agentic AI, LLM systems, rigorous evaluation, and production engineering.

Company: MassMutual

Role: Lead AI Engineer

Location: Springfield, Massachusetts; Boston, Massachusetts; New York, New York

Experience

• 7+ years of experience in data science, machine learning, or AI engineering
• Track record of delivering impactful AI/ML solutions at scale
• Experience building, deploying, and scaling production AI systems
• Strong programming skills in Python
• Familiarity with clean, well-tested, production-quality code
• Familiarity with Docker, Kubernetes, and other orchestration and deployment frameworks

Qualification

• M.S. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field
• Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field
• Equivalent years of relevant professional experience

Responsibilities

• Lead the design, deployment, and production scaling of advanced AI solutions
• Architect and deliver generative AI, agentic AI, and LLM-based systems
• Use rigorous scientific methods to solve complex, high-value enterprise problems
• Build end-to-end AI solutions from ideation through production deployment and monitoring
• Design and conduct evaluations of AI system performance
• Perform experimentation, benchmarking across foundation models, and quantitative analysis
• Drive innovation by translating cutting-edge research into practical applications
• Establish team-wide best practices in AI development and responsible AI deployment
• Build rapid prototypes to test and validate AI approaches
• Deliver production-grade AI-powered applications such as intelligent interfaces, dashboards, and automated workflows
• Collaborate with engineering teams to build robust AI pipelines and APIs
• Influence senior leadership by aligning AI initiatives with enterprise strategy
• Communicate complex technical concepts and findings in clear, actionable terms
• Mentor and develop junior talent
• Foster technical excellence, scientific rigor, and continuous learning across the team

Additional Responsibilities

• Accountability for reliability, performance, and maintainability
• Work across enterprise use cases
• Partner closely with technology and business stakeholders across the organization
• Operate at the intersection of cutting-edge research and enterprise delivery
• Support shared technical standards
• Value peer learning, candid feedback, and collaboration
• Access learning content on Degreed and other informational platforms
• Participate in regular meetings with the AI & Data Science team
• Participate in focused one-on-one meetings with your manager
• Engage with Business Resource Groups focused on Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability communities
• Work in a company recognized by The Boston Globe as a Top Place to Work 2025
• Work in a company with industry leading pay and benefits
• Work for a company with a strong and stable ethical business
• Perform other duties not listed

Nice To Have

• Familiarity with agentic AI tooling ecosystems such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols
• Experience developing and evaluating AI systems in a regulated industry
• Breadth across classical ML, causal inference, optimization, and Bayesian approaches
• Proficiency in SQL
• Familiarity with cloud-native data platforms
• Familiarity with vector databases
• Familiarity with semantic search
• Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership
• Exceptional research credentials such as published work, significant open-source contributions, or strong scientific rigor…