AI/ML Engineer

Company: Optum

Location: Minnetonka, MN (Remote)

Salary: $98,500 - $176,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-08-24

About this role

Our Company

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

Position Summary

As an AI/ML Engineer, you will join our innovative technology team at Optum Technology to design, build, and deploy cutting-edge artificial intelligence and machine learning capabilities that transform healthcare operations. In this role, you will develop scalable GenAI models, Large Language Model (LLM) applications, agentic frameworks, and robust Python inference APIs deployed on Kubernetes infrastructure. Working in a fast-paced, collaborative environment, you will leverage modern developer tools and semantic search capabilities to deliver highly accessible, impactful AI solutions across enterprise healthcare data.

You'll enjoy the flexibility to telecommute\* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Design, develop, and validate machine learning models using GenAI (LLMs, agentic frameworks) and traditional ML techniques on cloud platforms
  • Write and deploy scalable Python APIs for model inference running on Kubernetes, ensuring efficient containerization and orchestration of agentic flows
  • Implement and integrate semantic search capabilities to enhance data accessibility and retrieval for analytics and business intelligence
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI
  • Evaluate emerging techno...

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