Remote AI/ML Engineer — GenAI in Healthcare

UnitedHealth Group; Minnetonka (MN); Remote; USD 99,000 - 176,000; Full time

Job summary

UnitedHealth Group seeks an AI/ML Engineer to design, develop, and deploy cutting-edge GenAI/LLM capabilities that transform healthcare operations. You will build scalable GenAI models, agentic frameworks, and Python inference APIs on Kubernetes, enabling accessible AI solutions across enterprise data.

You will work in a fast-paced environment, leveraging modern developer tools, semantic search, and responsible AI practices to deliver impactful solutions while collaborating with cross-functional

Qualifications

• 4+ years of software development, data engineering, or AI/ML experience.
• 4+ years of Python experience with core data science libraries.
• 3+ years applying ML in a commercial enterprise, incl. time-series or statistical analysis.
• 2+ years NLP/LLM experience in production with large-scale data.
• 1+ years building RESTful APIs for model inference.

Responsibilities

• Design, develop, and validate ML models (GenAI/LLMs) on cloud platforms.
• Write and deploy scalable Python APIs for model inference on Kubernetes.
• Implement semantic search to enhance data access for analytics.
• Develop AI-powered solutions addressing business challenges with responsible AI use.
• Evaluate emerging tech and inform architecture and innovation.
• Leverage AI tools to streamline workflows and CI/CD.

Skills

Python

ML/AI

RESTful APIs

Kubernetes

GenAI/LLMs

NLP

Data engineering

Education

Bachelor's degree or equivalent experience

Tools

Docker

Kubernetes

GitHub Copilot

Job description

UnitedHealth Group seeks an AI/ML Engineer to design, develop, and deploy cutting-edge GenAI/LLM capabilities that transform healthcare operations. You will build scalable GenAI models, agentic frameworks, and Python inference APIs on Kubernetes, enabling accessible AI solutions across enterprise data.

You will work in a fast-paced environment, leveraging modern developer tools, semantic search, and responsible AI practices to deliver impactful solutions while collaborating with cross-functional