Lead AI Platform Engineer — LLMs in Production

Humana; Louisville (KY); Hybrid; USD 171,000 - 235,000; Full time

Benefits offered by this job

Medical, dental and vision benefits

401(k) retirement savings plan

Paid time off and holidays

Disability insurance (short-term &

Life insurance

Bonus incentive plan (eligible)

Job summary

Humana is seeking a Lead AI Applied Engineer to provide technical leadership for production AI systems in a regulated healthcare setting. You will own architecture for LLM-driven product experiences, drive platform decisions, and ensure reliability, explainability, and auditability across complex, scalable AI workflows.

Responsibilities include leading design reviews, guiding cross-team initiatives, and mentoring engineers while collaborating with product, clinical, and operations stakeholders

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field or equivalent practical experience.
• 8+ years of software engineering experience.
• Proven track record delivering AI-enabled products or platforms.
• Experience integrating and operating LLMs in production workflows.
• Experience with structured outputs, tool calling, RAG, agentic workflows, and evaluation pipelines.

Responsibilities

• Lead architecture for production AI systems where LLMs are foundational to the product experience.
• Own model selection, system boundaries, platform architecture, and build-versus-buy decisions.
• Ensure reliability, explainability, correctness, and auditability in regulated healthcare contexts.
• Set engineering standards for AI systems including evaluation methodologies and observability.
• Build and maintain end-to-end AI applications, including LLM pipelines, retrieval systems, and human-in-the-loop processes.

Skills

Python

TypeScript/JavaScript

LLMs integration

Distributed systems

Reliability engineering

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes

Docker

PostgreSQL

Vertex AI

Job description

Humana is seeking a Lead AI Applied Engineer to provide technical leadership for production AI systems in a regulated healthcare setting. You will own architecture for LLM-driven product experiences, drive platform decisions, and ensure reliability, explainability, and auditability across complex, scalable AI workflows.

Responsibilities include leading design reviews, guiding cross-team initiatives, and mentoring engineers while collaborating with product, clinical, and operations stakeholders