AI ML Engineer

About The Company
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.
About The Role
In support of AI 10.0 Scaling and leveraging AI to apply processing rules directly from source documentation via enterprise assets, we are expanding our Claim Edit Hub team. This role involves working on deriving rules and edits directly from source documents such as policies and exposing them via Agentic workflow to facilitate real-time accessibility. The position supports our "shift left" strategy by enabling claim edits and rules to be executed on Trial Claims, providing transparent cost estimates to providers and members. The ideal candidate will be instrumental in building and productionizing AI systems, ensuring model quality, and maintaining high standards of security, observability, and operational excellence. This is a remote opportunity within the U.S., with some in-office requirements for candidates based in Minneapolis or Washington, D.C.
Qualifications

• 10+ years of experience in Observability & Monitoring
• 5+ years of experience in Programming & Packaging (Python, SQL, Shell scripting)
• 5+ years of experience with ML/DL Frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow/Keras)
• 5+ years of experience with Generative AI & Agents (LLM evaluation, RAG pipelines, prompt routing, LangChain orchestration)
• 5+ years of experience with Pipelines & Orchestration tools (Kubeflow, Vertex AI Pipelines, Apache Airflow)
• 5+ years of experience with Model Registry, Experiment Tracking, and A/B Testing (Vertex AI Model Registry, MLflow)
• 5+ years of serving & inference (endpoints, autoscaling, versioning, rollback strategies)
• 5+ years of MLOps/DevOps practices (CI/CD, IaC, containerization, Kubernetes)
• 5+ years of Security best practices (access controls, key management, secure data paths)
• 3+ years of experience with Cloud Platforms (Vertex AI, AWS, Azure AI services)
• 2+ years of Responsible AI & Compliance (explainability, fairness testing, PHI/PII handling, model documentation)

Responsibilities

• Design, develop, and productionize AI systems including agentic services, APIs/SDKs, and end-to-end pipelines.
• Ensure the quality, evaluation, security, and safety of AI models and systems.
• Implement observability frameworks and operational standards to maintain system performance and reliability.
• Drive architecture, governance, and engineering standards across projects.
• Collaborate effectively with cross-functional teams including data scientists, engineers, and business stakeholders.
• Support the development and deployment of rules and edits derived directly from source documentation.
• Contribute to the "shift left" strategy by enabling real-time claim edits and transparent cost estimates.
• Maintain compliance with security policies and responsible AI practices.
• Participate in continuous improvement initiatives related to AI workflows and infrastructure.

Benefits

• Comprehensive health insurance plans
• Retirement savings plans including 401(k) contributions
• Incentive and recognition programs
• Equity stock purchase options
• Flexible remote work arrangements within the U.S.
• Paid time off and holidays
• Professional development and training opportunities

Equal Opportunity
UnitedHealth Group is an Equal Employment Opportunity employer. We are committed to creating a diverse and inclusive environment where all qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, gender, sexual orientation, gender identity, disability, veteran status, or any other characteristic protected by law. We promote workplace diversity and are dedicated to providing equitable opportunities for all employees. All employment is contingent upon passing a drug test and background check as applicable.