Lead Applied Ai Engineer

Humana

New York City, New York, US
Base: $170,800 - $234,800 py; bonus/equity: eligib...
Hybrid
Applied ai/ml
Distributed systems at scale
Generative ai systems
Become a part of our caring community The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments

Job Summary

  • Become a part of our caring community The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments.
  • We are seeking an accomplished Lead Applied AI Engineer to architect and deliver advanced AI systems that seamlessly integrate Generative AI capabilities and intelligent agents into secure, scalable healthcare platforms.
  • Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being.

Matching Summary

Become a part of our caring community The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments.

Salary

Base: $170,800 - $234,800 per year; Bonus/Equity: eligible for a bonus incentive plan; Benefits: medical, dental and vision benefits, 401(k) retirement savings plan, time off, disability, life insurance and many other opportunities

Skills & Requirements

Must-have

  • Applied AI/ML
  • Distributed systems at scale
  • Generative AI systems
  • Agent orchestration frameworks
  • Python
  • Vector databases
  • LLM APIs

Nice-to-have

  • Healthcare industries experience
  • Mentoring and coaching abilities
  • Cross-functional collaboration skills
  • Responsible AI principles
  • AI governance considerations

Key Requirements

  • 7+ years software engineering
  • Bachelor's or Master's degree
  • Production-grade generative AI systems
  • Lead complex AI initiatives
  • Strong technical proficiency in Python
  • Extensive experience with modern web application frameworks
  • Deep knowledge of AI-specific technologies
  • Established organization-wide best practices for prompt engineering
  • Deep familiarity with responsible AI principles

Work Rights

Not specified

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