Senior AI Engineer

Humana

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYLouisville, KYDallas, TX
Salary
$141,100–$194,000 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k
This role $168k
$130k $247k
below market most similar roles pay here above market

This role pays less than 65% of similar roles. Most pay $154,768–$235,750 — the blue band above. At the midpoint, this role pays about $168k versus about $195k 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 59 open roles on FindRole.

Listed pay typically runs $129,300–$177,800 across 28 roles with salary data.

Most-posted roles

View all roles at Humana

At a glance

TL;DR · Senior AI Engineer

JOB TITLE: Senior AI Engineer As a Senior AI Engineer, you will join a high-impact team to design, build, deploy, and operate production AI systems that transform millions of clinical documents into trusted, actionable data. You will own end-to-end solutions, including frontend experiences, APIs, backend services, and data pipelines. Your daily work involves building LLM-based workflows for information extraction, classification, and retrieval-augmented generation (RAG) systems. You will develop robust prompt strategies, evaluation frameworks, and human-in-the-loop processes to ensure accuracy and traceability in a regulated healthcare environment. The technical stack includes Python, TypeScript, React, Next.js, PostgreSQL, and Gemini on Vertex AI. You will also utilize Docker, Kubernetes, and OCR technologies to manage document ingestion, metadata extraction, and production operations while ensuring strict privacy and compliance.

What does a AI Engineer earn in New York?

Median $246150 from 70 postings across 10 companies.

See salary data

What you'll do

  • Design, develop, and deploy full-stack AI applications including frontend experiences, APIs, and backend services.
  • Build and optimize LLM-based workflows for information extraction, classification, retrieval, and agentic processes.
  • Implement retrieval-augmented generation (RAG) systems using embeddings, vector databases, and semantic search.
  • Develop evaluation frameworks including benchmark datasets, regression testing, and human-in-the-loop review workflows.
  • Build and maintain document-processing pipelines for OCR, ingestion, metadata extraction, and indexing.
  • Deploy and operate production services in cloud-native environments using Kubernetes, Docker, and CI/CD pipelines.
  • Implement observability, monitoring, logging, and incident response processes for production AI systems.
  • Ensure all AI solutions meet privacy, security, and auditability requirements within a regulated healthcare environment.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative technical discipline.
  • 5+ years of experience building and operating production software systems.
  • Experience developing backend services, APIs, distributed systems, or data-intensive applications.
  • Hands-on experience integrating LLMs into production applications using RAG, agents, or multi-step workflows.
  • Experience with at least one major AI platform such as OpenAI, Anthropic, Google, Azure AI, or AWS Bedrock.
  • Strong programming skills in Python and/or TypeScript/JavaScript.
  • Experience debugging, monitoring, and supporting production applications used by real customers.
  • Experience with React, Next.js, Kubernetes, Docker, and modern CI/CD practices (preferred).

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