Senior AI/ML Engineer

UnitedHealth Group•Minnetonka, MN

2d•$120,100 - $214,500•Remote

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. 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.

Requirements

Bachelor of Science in computer science or related quantitative field
3+ years in Programming & Packaging
Python (typing, pytest, packaging), SQL; shell for automation
2+ years in Observability & Monitoring
SLOs for latency/cost/error; drift/skew detection
2+ years in Model Registry, Experiment Tracking & A/B
Model registry (eg, Vertex AI Model Registry/MLflow); experiment tracking; canary/A B rollout
2+ years in Responsible AI & Compliance
Explainability/fairness testing; PHI/PII handling; model cards; AIRB/RAI artifacts and audit ready evidence
1+ years in GenAI & Agents
LLM evaluation methods; RAG pipelines; prompt/route registries; LangChain style orchestration
1+ years in Serving & Inference
Batch/online endpoints, autoscaling; versioning and rollback strategies
1+ years in Cloud Platforms
Public Cloud (Vertex AI, GPUs/TPUs), AWS/Azure AI services

Nice To Haves

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

Responsibilities

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