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Lead AI Engineer

MassMutual

Salary not specified
Dec 22, 2025
Hartford, CT, US
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MassMutual is seeking to solve complex, high-value problems across the enterprise by driving strategic decision-making and business transformation through advanced AI solutions

Requirements

  • Recognized industry expertise in AI/ML, with a track record of delivering impactful solutions
  • Deep understanding of machine learning, statistics, NLP, optimization, and LLMs
  • Hands-on experience with AI deployment and orchestration frameworks and protocols (e.g., MLflow, llama-index, MCP)
  • Extensive experience testing LLM behavior across a variety of foundation models and benchmarks
  • Experience building AI-powered applications and collaborating with software engineers and product managers
  • Strong programming skills in Python
  • Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search is a plus

Responsibilities

  • Architect and lead 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
  • 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 (e.g., web apps, dashboards, visualizations) that enable data-driven decisions
  • Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating insights effectively

Other

  • M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field
  • 7+ years of experience in data science, machine learning, or AI engineering roles
  • Exceptional communication skills, with the ability to explain complex concepts to non-technical stakeholders
  • Mentor and develop junior talent, fostering a culture of technical excellence and continuous learning
  • Ability to work alongside experts in applied mathematics, statistics, computer science, and physics—collaborating on initiatives that shape the future of MassMutual