yoinka

Director, AI ML Engineering - Remote

UnitedHealth Group

RemoteSchaumburg, IllinoisStaff
Sign in to applyVerified 7d ago
Location
Schaumburg, Illinois
Work model
Remote
Level
Staff

Skills

Cybersecurity

About this role

The UnitedHealth Group Careers website will be undergoing planned maintenance. There will be downtime on Friday, March 27th 5:00 PM Central - Saturday, March 28th 5:00 PM Central.

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Director, AI ML Engineering - Remote

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Caring. Connecting. Growing together. With these values to guide us, our people are committed to making a meaningful difference in the lives of those we are honored to serve.

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Director, AI ML Engineering - Remote

Requisition number: 2358453

Job category: Technology

Primary location: Schaumburg, Illinois

Date posted: 05/28/2026

Overtime status: Exempt

Travel: No

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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. 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

Define and own the engineering AI strategy to measurably accelerate software development, quality, reliability, and operational efficiency through the use of AI agents Partner with engineering teams to analyze current workflows, development activities, and pain points across the SDLC, identifying high‑value opportunities where AI agents can deliver meaningful impact Develop a clear, prioritized roadmap of AI agent use cases aligned to business objectives, engineering strategy, and enterprise technology standards Build data‑driven proposals and business cases for AI agent investments, including