Sr. AI/ML Engineer- Remote or Eden Prairie, MN

Company: Optum

Location: Eden Prairie, MN (Remote)

Salary: $120,100 - $214,500 a year

Type: Full-time

Remote: Yes

Posted: 2026-09-28

About this role

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, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

As a Sr AI/ML Engineer on the United AI Studio team, you will build agentic experiences on an enterprise AI platform-including Agents, Model Context Protocol (MCP) servers, plugins, and skills that enable teams to register, discover, and govern AI assets. You will build agents that eliminate friction across engineering workflows, starting with responsible AI reviews. You will join a team running AI Solution governance, AI Catalog, and enterprise-wide agent/skill registries, working alongside teams building underlying governance rails to deliver cutting-edge AI capabilities across the organization.

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

Primary Responsibilities:

  • Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI
  • Build agentic experiences end-to-end, managing tool design, context and state management, failure handling, retries, and cost/latency budgets from prototype through production behind enterprise gateways
  • Design orchestration architectures, choosing between single agents, subagents, and deterministic pipelines, evaluating when a workflow should or should not be agentic
  • Expose AI capabilities through channel-agnostic APIs and Model Context Protocol (MCP) tools with required authentication, scoping, and auditability...

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