AI/ML Engineer

UnitedHealth Group•Eden Prairie, MN

32d•$72,800 - $130,000•Remote

About The Position

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together. You’ll enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical discipline
5+ years of experience in software engineering. Proven track record developing APIs, microservices, cloud-native architectures, CI/CD pipelines, DevSecOps, and observability
5+ years working on teams using agile and lean coding methodologies, such as pair or mob programming
3+ years of experience building solutions on a Python stack. Hands-on experience with core AI capabilities, such as generative AI, agentic AI, LLMs, vector databases, embeddings, semantic search, and knowledge retrieval
2+ years experience integrating AI solutions with enterprise platforms, business workflows, data platforms, and operational systems to deliver measurable business outcomes
Strong communication skills for cross-functional collaboration and stakeholder interactions

Nice To Haves

Familiarity with MLOps tools and workflows for monitoring prediction accuracy, detecting feature drift, and assessing ongoing model fit and/or degradation

Responsibilities

Design, develop, and deploy AI-powered solutions, digital workers, and intelligent automation capabilities that drive measurable business outcomes and operational efficiency
Rapidly prototype, validate, and scale emerging AI technologies (Generative AI, Agentic AI, automation, orchestration, and analytics) to address enterprise transformation opportunities
Partner with business, architecture, engineering, and operations teams to identify high-value use cases and translate them into production-ready AI solutions
Establish and promote AI engineering best practices, reusable frameworks, governance standards, and responsible AI controls to accelerate enterprise adoption
Evaluate disruptive technologies, drive innovation pilots, and builde strategic capabilities that position the organization for future-state digital operations