Lead AI Engineer: Architect Scalable AI Platforms

Humana

Washington (District of Columbia)

On-site

USD 129,000 - 178,000

Full time

3 days ago
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Benefits offered by this job

Bonus incentive plan
Travel to Humana offices

Job summary

Humana seeks a Lead AI Engineer to build the next generation of AI-powered experiences, platforms, and intelligent workflows. This hands-on technical leadership role blends software engineering, AI, and platform architecture to move ideas from concept to production in a reliable, secure, and scalable way.

You will mentor engineers, own system architecture, and drive adoption of LLMs, RAG, and autonomous workflows across enterprise platforms.

Qualifications

  • 8+ years of software engineering experience.
  • 3+ years building or leading production AI/ML solutions.
  • Strong experience with large language models, AI orchestration frameworks, vector search, RAG, and prompt engineering.
  • Proficiency in Python and at least one additional modern language, preferably C#/.Net.
  • Experience building cloud-native applications in Azure, AWS, or GCP.
  • Strong understanding of APIs, CI/CD, testing, and DevSecOps.
  • Ability to lead complex technical initiatives and influence across teams.

Responsibilities

  • Design and deliver AI-powered capabilities that solve meaningful business problems.
  • Develop solutions using LLMs, RAG, autonomous agents, semantic search, and other modern AI techniques.
  • Own technical architecture from prototype through production deployment.
  • Create reusable platform capabilities that accelerate future AI development.
  • Mentor engineers and raise the technical bar.
  • Drive engineering best practices around architecture, testing, deployment, observability, and security.

Skills

Software engineering
AI/ML leadership
LLMs & RAG
Python & C#/.Net
Cloud-native apps
DevSecOps
Technical leadership

Tools

Azure
AWS
GCP

Job description

Humana seeks a Lead AI Engineer to build the next generation of AI-powered experiences, platforms, and intelligent workflows. This hands-on technical leadership role blends software engineering, AI, and platform architecture to move ideas from concept to production in a reliable, secure, and scalable way.

You will mentor engineers, own system architecture, and drive adoption of LLMs, RAG, and autonomous workflows across enterprise platforms.

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