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Principal AI​/ML Engineer

Job in Eden Prairie, Hennepin County, Minnesota, 55344, USA
Listing for: Optum
Full Time position
Listed on 2026-08-27
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 164600 - 282200 USD Yearly USD 164600.00 282200.00 YEAR
Job Description & How to Apply Below

Improve the lives of others while Caring. Connecting. Growing together.

Job Description - Principal AI/ML Engineer (2379402)

Principal AI/ML Engineer - 2379402

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives.

Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

Optum AI is United Health Group’s enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across United Health Group businesses including United Healthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.

As a principal engineer within the enterprise AI Platforms team within the Office of AI, you will design, build and operate the platform that healthcare agents run on. This is a software engineering role at its core applied to a domain where the workloads are models, retrieval and agents. You will own systems end to end: analysis and design, coding, code review, testing and debugging, documentation, release and delivery, and the long maintenance tail after launch.

Your work is enabling Optum clients with access to an AI Platform that provides secure, PHI-ready model access and favorable inference economics, a capability gateway that makes licensed intelligence callable from any approved agent or application, and the agent harness those agents run on. You will set the engineering standards, patterns and shared utilities other teams build on, and carry meaningful influence over the technical direction of the portfolio.

Expect to prototype quickly with design partners, prove or disprove technical bets with evidence, and then harden what survives into platform-grade services that other engineers can easily adopt.

Optum AI team members:

  • Have impact at scale:
    We have the data and resources to make an impact n our solutions are deployed, they have the potential to make health care system work better for everyone
  • Do ground-breaking work:
    Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development
  • Partner with world-class experts on innovative solutions:
    Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world’s top universities

You’ll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

  • Design, code, test, debug, document and maintain the services that make up the AI platform and agent runtime, taking systems from design review through production operation and long-term support
  • Design the public surface of the platform — APIs, SDKs, client libraries, schemas and versioning strategy — so that internal teams, client engineering teams and external builders can integrate without bespoke work for each consumer
  • Build the Capability Gateway: implement Model Context Protocol (MCP) servers and tool interfaces with typed contracts, authentication and authorization, input and output validation, quota and rate limiting, audit logging, and an automated conformance test suite that new capabilities must pass
  • Build and operate the agent…
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