Sr. Manager, AI/ML Engineering - Remote
About The Position
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. UHC Technology is focused on driving change, modernization, and ensuring reliable and stable systems so that we can help to transform health care - 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
- Bachelor of Science in computer science or related quantitative field or 4+ years of relevant experience in lieu of degree
- 8+ years of software engineering experience
- 3+ years of people leadership experience managing managers and engineering teams
- Solid experience in Java, Spring Boot, Microservices, RESTful APIs, Azure Cloud Platform, Kubernetes/OpenShift/AKS, CI/CD and DevOps practices, Event-driven architectures, Relational and NoSQL databases, Application observability and monitoring
Nice To Haves
- Experience using AI-powered development and productivity tools
- Knowledge of GenAI concepts such as LLMs, RAG, Prompt Engineering, AI Agents, Vector Databases, AI governance and responsible AI practices
- Exposure to Azure AI services, OpenAI, or enterprise AI platforms
Responsibilities
- Define and execute the technology roadmap aligned with business objectives
- Lead architecture decisions for cloud-native applications, APIs, event-driven systems, and data platforms
- Drive modernization initiatives including application transformation, cloud migration, and platform simplification
- Establish engineering standards covering design, coding, testing, security, resiliency, and observability
- Evaluate emerging technologies, including AI/ML and Generative AI, for business applicability
- Promote adoption of AI-assisted development tools (GitHub Copilot, coding agents, automated testing, code quality analysis)
- Own end-to-end delivery of multiple products, applications, or portfolios
- Drive Agile delivery practices and continuous improvement initiatives
- Accountable for application availability, reliability, performance, and supportability
Benefits
- a comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Manager
