Principal AI Engineer (Agentic AI)

Humana

Hybrid

Quick summary

Work type: Hybrid
Location: Louisville, KYWashington, DCNew YorkBoston, MADallas, TX
Salary: $172,200–$236,900 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k

This role $205k

$160k most similar roles pay here $268k

This role pays less than 62% of similar roles. Most pay $170,746–$246,150 — the shaded band above. At the midpoint, this role pays about $205k versus about $208k 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 21 open roles on FindRole.

Listed pay typically runs $142,300–$195,700 across 21 roles with salary data.

Most-posted roles

View all roles at Humana

At a glance

TL;DR · Principal AI Engineer (Agentic AI)

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The Principal AI Engineer at Humana leads the technical direction and execution for agentic AI platforms, ensuring secure, scalable infrastructure that supports autonomous agent-driven applications. This role involves architecting cloud-based services using Kubernetes on GCP, developing robust backend APIs in Python with FastAPI or Flask, and building CI/CD pipelines for efficient deployment. The Principal Engineer collaborates closely with data science and operations teams to set technical standards, mentor peers, and drive innovation aligned with Humana’s AI technology roadmap. Required skills include extensive experience in Python, machine learning engineering, cloud-native development, containerization, and DevOps practices. Ideal candidates have a background in building scalable platforms and a strong understanding of deep learning frameworks like PyTorch or TensorFlow.

Skills

Python FastAPI Flask Kubernetes Docker GCP AWS Azure CI/CD REST gRPC Terraform Prometheus Git PyTorch TensorFlow LangChain LlamaIndex PydanticAI

What you'll do

Lead the design and engineering of secure, scalable agentic AI platforms.
Build and maintain CI/CD pipelines for efficient AI application deployment.
Architect cloud-based AI services using Kubernetes and security controls.
Develop robust backend APIs in Python to support AI platform functionality.
Set technical standards and mentor peers to drive innovation in AI.

What we're looking for

10+ years of professional software or platform engineering experience.
Deep expertise in Python and building production services and shared libraries.
Hands-on experience with modern AI systems, including LLM integration and RAG.
Strong background in machine learning engineering, model deployment, and monitoring.
Expert-level understanding of FastAPI, Flask, REST/gRPC service design.
Minimum 5 years of containerization and orchestration experience (Docker, Kubernetes).
Production experience with CI/CD pipelines, version control, and modern DevOps practices.

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