Lead AI Engineer

Responsibilities

• Lead the design, development, and deployment of end-to-end AI solutions for enterprise use cases, from ideation through production rollout and monitoring, leveraging LLMs, agentic AI, machine learning, and probabilistic modeling while owning reliability, performance, and maintainability.
• Plan and execute rigorous evaluations of AI system performance, including experiments, benchmarking across foundation models, and quantitative analysis to guide technical decisions.
• Drive innovation by spotting emerging technologies, translating research into practical applications, and establishing team wide AI development and responsible deployment best practices.
• Develop rapid prototypes to validate AI approaches and deliver production grade AI powered applications such as intelligent interfaces, dashboards, and automated workflows when viable.
• Partner with engineering teams to build robust AI pipelines and APIs that integrate with the broader enterprise tech landscape.
• Communicate with senior leadership to align AI initiatives with enterprise strategy and present complex technical concepts in clear, actionable terms.
• Mentor and cultivate junior talent, promoting technical excellence, rigor, and continuous learning across the team.

Requirements

• 7+ years of experience in data science, ML, or AI engineering with a track record of delivering impactful AI/ML solutions at scale.
• Deep expertise in ML, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and LLM evaluation across diverse foundation models and benchmarks.
• Proven ability to design, deploy, and scale production AI systems from architecture planning through orchestration, monitoring, and end-user delivery.
• Strong Python programming skills with production-grade, well-tested code; experience with Docker, Kubernetes, and related deployment tools.
• MS or PhD in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field.
• Familiarity with agentic AI tooling ecosystems such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols.
• Experience developing and evaluating AI systems in regulated industries with a solid understanding of compliance and privacy standards.
• Breadth across AI and data science methods, including classical ML, causal inference, optimization, and Bayesian approaches, with comfort switching techniques as problems demand.
• Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search.
• Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership.
• Strong research credentials such as publications, notable open-source contributions, or a track record of scientific rigor applied in industry.

Technologies

Python, Docker, Kubernetes, Bedrock AgentCore, AWS Strands, Azure, MCP/A2A protocols, SQL, Vector databases, Semantic search, Cloud-native data platforms

Benefits

• Paid Time Off
• Health & Well-Being
• Financial Well-Being
• Taking Care
• Giving Back
• Commuter Benefits

Award-Winning Culture

MassMutual is guided by a single purpose: We help people secure their future and protect the ones they love. As a company operated for the benefit of our members and participating policyowners, we are defined by mutuality and our vision to provide financial well-being for all Americans. It’s more than our company structure — it’s our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources and rely on each other when it

How We Work

MassMutual’s flexible workplace approach combines the importance of connecting in person and the flexibility of working remotely. Our hybrid model puts collaboration first with employees coming in at least three days per week to our spectacular campus settings and also enjoying the flexibility of remote Fridays, company-wide remote weeks, and a bank of flexible remote weeks to use throughout the year.

Benefits For The Whole You

There’s more to your life than your job and there’s more to your aspirations than a paycheck. We take a holistic view of compensation and benefits that provides the flexibility to create a healthy balance in your life for work, family, and community. We offer the benefits you’d expect, like medical, dental, 401(k), and generous vacation time, but we also offer ones you might not expect, like three paid days for volunteering, a $1,250 annual Well-Being Wallet, and up to 320 hours of caregiver lea