Lead AI ML Engineer - Remote

UnitedHealth Group•Minnetonka, MN

1d•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. 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. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

10+ years in Observability & Monitoring
SLOs for latency/cost/error; drift/skew detection; tracing/telemetry (OpenTelemetry style); alerting (eg, Prometheus/Grafana equivalents)
5+ years in Programming & Packaging
Python (typing, pytest, packaging), SQL; shell for automation
5+ years in ML / DL Frameworks
scikit learn, XGBoost; PyTorch or TensorFlow/Keras for deep learning
5+ years in GenAI & Agents
LLM evaluation methods; RAG pipelines; prompt/route registries; LangChain style orchestration; model hubs (eg, Model Garden / Hugging Face)
5+ years in Pipelines & Orchestration
Kubeflow or Vertex AI Pipelines; Apache Airflow/Composer
5+ years in Model Registry, Experiment Tracking & A/B
Model registry (eg, Vertex AI Model Registry/MLflow); experiment tracking; canary/A B rollout
5+ years in Serving & Inference
Batch/online endpoints, autoscaling; versioning and rollback strategies
5+ years in MLOps / DevOps
CI/CD (GitHub Actions or equivalent); IaC; secrets/certs; containerization (Docker) and orchestration (Kubernetes)
5+ years in Security
Access controls, key management, secrets hygiene; secure data paths end to end
3+ years in Cloud Platforms
Public Cloud (Vertex AI, GPUs/TPUs), AWS/Azure AI services
2+ years in Responsible AI & Compliance
Explainability/fairness testing; PHI/PII handling; model cards; AIRB/RAI artifacts and audit ready evidence
All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy

Responsibilities

Responsible 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