Senior Manager, AI/ML Engineering - Remote

UnitedHealth GroupMinnetonka, MN
$112,700 - $193,200Remote

About The Position

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. UHC Technology is focused on driving change, modernization, and ensuring reliable and stable systems so that we can help to transform healthcare - making it easier, more affordable, and more effective for those we serve. We are passionate about technology and the role it plays to create distinctive experiences to our constituents. While we are always focused on how technology can help us deliver faster and with improved quality, we are far more enthusiastic about the ways technology can reinvent how we deliver on our mission in partnership with the UHC lines of business and Optum Technology. 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.

Requirements

  • Bachelors degree in Computer Science, Engineering, Data Management, or related field
  • 10+ years of software engineering experience, with 1+ years in AI/ML engineering roles
  • 1+ years managing AI/ML engineering teams or managers in complex enterprise environments
  • Proven experience delivering production AI/ML systems at scale, not just POCs

Nice To Haves

  • Experience in the healthcare sector
  • Prove excellent communication and leadership skills

Responsibilities

  • Lead design and delivery of enterprise-scale AI/ML and Generative AI solutions (LLMs, NLP, predictive ML, agentic workflows)
  • Provide technical oversight and architectural guidance across model development, data pipelines, MLOps, and cloud-native deployments
  • Ensure AI solutions meet reliability, security, cost, and performance standards in production
  • Drive adoption of platform-based AI capabilities and reusable accelerators

Benefits

  • comprehensive benefits package
  • incentive and recognition programs
  • equity stock purchase
  • 401k contribution
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