Senior AI/ML Engineer

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.

In support of AI 10.0 Scaling and leveraging AI to apply processing rules directly from source documentation via enterprise assets, we're adding resources to our Claim Edit Hub team. This team will work to derive rules/edits directly from source documents (i.e. Policies) and expose them via Agentic workflow to make them accessible in a real time manner.

This will also support our 'shift left' strategy to enable claim edits/rules to be executed on Trial Claims to provide transparent cost estimates to Providers and Members.

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.

• AI & Compliance
• Building & Productionizing AI Systems (agentic services, APIs/SDKs, RAG/CAG, E2E pipelines)
• Ensure Model Quality, Evaluation, Security & Safety
• Implement Observability, Operations excellence
• Drive Architecture, Governance & Engineering Standards
• Cross Functional Leadership & Collaboration

• Bachelor of Science in computer science or related quantitative field
• 3+ years in Programming & Packaging

• Python (typing, pytest, packaging), SQL; shell for automation

• Model registry (eg, Vertex AI Model Registry/MLflow); experiment tracking; canary/A B rollout

• Explainability/fairness testing; PHI/PII handling; model cards; AIRB/RAI artifacts and audit ready evidence

• LLM evaluation methods; RAG pipelines; prompt/route registries; LangChain style orchestration

• Batch/online endpoints, autoscaling; versioning and rollback strategies

• Public Cloud (Vertex AI, GPUs/TPUs), AWS/Azure AI services

• Experience developing and deploying applications on AWS
• Experience modernizing legacy systems using AI enabled microservices
• Solid understanding of security, IAM, data protection, logging, monitoring, performance tuning, disaster recovery, and production operations

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).

No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.