Optum

Lead SWE, AI Dev/IT Operations - Remote or Hybrid in DC or MN

Minnetonka, MN, US$112,700-$193,200Posted 25 days ago

Job Description

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.

We're seeking a skilled Lead Software Engineer to help build intelligent automation, predictive analytics, and agentic AI capabilities for IT Operations. In this role, you will design, build, and help operationalize machine learning models and AI-driven workflows that improve observability, speed up incident response, and support self-healing infrastructure across the enterprise. You'll work closely with senior engineers, architects, and data scientists to bring these capabilities into production.

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

  • AI/ML Development: Design, build, and maintain machine learning models and AI-driven automation for IT operations use cases, including predictive analytics, intelligent automation, and support for autonomous remediation
  • Data & Platform Engineering: Build and maintain data pipelines that ingest structured and unstructured data from observability and ITSM platforms (e.g., Splunk, Dynatrace, ServiceNow, logs, metrics, traces)
  • Feature Engineering & Model Support: Develop and maintain feature sets that support anomaly detection, predictive alerting, capacity forecasting, and operational intelligence use cases
  • Model Operationalization: Partner with data scientists and platform teams to dep

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