Lead AI Engineer

Humana

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYLouisville, KYFrisco, TX
Salary
$170,800–$234,800 / yr
Posted
18 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $210k
This role $203k
$162k most similar roles pay here $255k

This role pays less than 55% of similar roles. Most pay $172,900–$246,150 — the shaded band above. At the midpoint, this role pays about $203k versus about $210k for comparable roles.

Based on 240 similar postings.

Employer

About Humana

Humana Inc. is a leading American for-profit health insurance company based in Louisville, Kentucky, specializing in Medicare Advantage plans.

Humana currently has 20 open roles on FindRole.

Listed pay typically runs $129,300–$177,800 across 20 roles with salary data.

Most-posted roles

View all roles at Humana

At a glance

TL;DR · Lead AI Engineer

Lead AI Engineer The Lead AI Engineer joins the team to provide technical leadership for AI-enabled products and platforms within a highly regulated healthcare environment. This role involves defining architectural direction, establishing engineering standards, and personally designing and building critical components like LLM pipelines, retrieval systems, agentic workflows, and human-in-the-loop processes. The engineer will manage high-risk challenges regarding reliability, explainability, and correctness while mentoring other engineers through code reviews and technical guidance. Key responsibilities include managing model selection, system boundaries, and evaluation methodologies to ensure scalable, auditable solutions. The role requires proficiency in Python, TypeScript, React, Next.js, and PostgreSQL, alongside experience with Gemini on Vertex AI, OCR technologies, Docker, Kubernetes, and cloud-native infrastructure. The work focuses on transforming clinical documents into actionable data using large language models to support critical healthcare decisions for a large member population.

What you'll do

  • Design and implement the architecture for production AI systems involving LLM pipelines, retrieval systems, and agentic workflows.
  • Build and maintain high-risk system components that require high reliability, accuracy, and auditability in a regulated environment.
  • Establish engineering standards for evaluation methodologies, structured outputs, observability, and cost controls for AI products.
  • Lead technical design reviews to guide decisions on platform capabilities, infrastructure, and software patterns.
  • Evaluate and recommend specific technologies, frameworks, and AI models based on business requirements.
  • Translate ambiguous business goals into clear technical strategies, roadmaps, and executable workstreams.
  • Mentor and coach engineers through code reviews, pair programming, and technical guidance.
  • Ensure all systems comply with healthcare privacy, security, and governance regulations.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • 8+ years of software engineering experience, including designing and operating production systems at scale.
  • Proven track record of delivering AI-enabled products or platforms into production environments.
  • Deep hands-on experience integrating and operating LLMs within business-critical workflows.
  • Experience designing systems using RAG, agentic workflows, tool calling, and evaluation pipelines.
  • Strong programming skills in Python and/or TypeScript/JavaScript.
  • Experience designing and operating distributed systems, APIs, data platforms, and cloud-native applications.
  • Demonstrated success leading technical initiatives including architecture reviews, planning, mentoring, and delivery execution.

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