Lead AI Engineer: Agentic AI & LLM Pipelines

Humana Inc; Atlanta (GA); Remote; USD 129,000 - 178,000; Full time

Job summary

Humana, Inc. is seeking a Lead AI Engineer to own the design and delivery of the NBA platform's agentic AI capabilities. This hands‑on role requires building production AI systems each sprint while leading a pod of engineers and contractors.

You will design multi‑step AI workflows, integrate Claude/GPT, and ship user‑facing AI experiences within the Command and Control UI. Strong Python skills and experience with RAG/vector search are essential, as is experience in regulated healthcare contexts.

Qualifications

• 6+ years of software or ML engineering experience with at least 1-2 years focused on LLM integration, agentic AI, or AI product engineering.
• Hands‑on experience building production agentic systems - multi‑step pipelines, tool orchestration, structured output handling, and multi‑turn conversation management
• Experience with RAG patterns and vector search - you have built retrieval‑augmented systems in production, not just read about them
• Strong Python engineering skills; comfortable building and shipping production‑grade AI systems, not just prototypes
• Experience integrating LLM APIs (Anthropic, OpenAI, or equivalents) into real applications
• Proven ability to lead a small team or pod through delivery and manage contractor resources
• Strong judgment on when AI is the right tool and when it is not - especially in a regulated, member‑facing context
• Clear communicator - you can explain an agentic architecture to an engineer and a product owner without losing either of them
• Deep fluency with AI productivity tools (Claude, Copilot, or similar) - this is table stakes for this role

Responsibilities

• Agentic AI delivery - design, build, and own AI agent workflows that surface intelligent analysis, recommendations, and automation across the NBA platform's user interfaces and internal tooling
• Hands‑on development - actively write and ship production code alongside your team; this is not a supervisory role
• AI workflow design - architect multi‑step agentic pipelines that integrate with the platform's data layer, decisioning outputs, and activation channels to deliver meaningful AI‑driven experiences
• LLM integration - own the integration of large language models (Claude, GPT, or equivalents) into platform workflows, including prompt engineering, tool use, structured output handling, and context management
• User‑facing AI experiences - partner with frontend and product teams to bring AI-powered analysis and recommendations into the Command and Control UI and other operator‑facing surfaces
• Evaluation and reliability - build evaluation frameworks to measure AI output quality; ensure agentic workflows are reliable, auditable, and safe in a regulated healthcare environment
• Contractor management - manage AI engineering contractors within your pod; set expectations, review work, and hold the team to quality standards
• AI productivity tooling - model best practices for AI‑assisted development (Claude, Copilot, etc.) across the broader engineering organization

Skills

LLM integration

Agentic AI

Python

Production AI systems

Team leadership

Regulated healthcare domain

Tools

Claude

GPT

Anthropic Claude API

Copilot

Job description

Humana, Inc. is seeking a Lead AI Engineer to own the design and delivery of the NBA platform's agentic AI capabilities. This hands‑on role requires building production AI systems each sprint while leading a pod of engineers and contractors.

You will design multi‑step AI workflows, integrate Claude/GPT, and ship user‑facing AI experiences within the Command and Control UI. Strong Python skills and experience with RAG/vector search are essential, as is experience in regulated healthcare contexts.