Senior AI/ML Engineer - LLM, RAG and Agentic AI

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. Join Optum's Prior Authorization Automation Platform to design and build next-generation AI solutions including Prior Auth Determination, Status Monitoring, Clinical Evidence Intelligence, and AI Copilots. The platform roadmap includes Determination, Status Monitoring, Provider Follow-Up, Clinical Evidence, and workflow automation agents.

Design and develop LLM-powered healthcare applications Build Retrieval-Augmented Generation (RAG) solutions using payer policies, clinical evidence, and authorization guidelines Develop Agentic AI workflows and multi-agent orchestration frameworks Implement prompt engineering, evaluation, grounding, and safety frameworks Build AI copilots and decision-support assistants Partner with Product, Engineering, and Data Science teams to deliver production-ready AI capabilities Support Responsible AI, AIRB, governance, and model observability Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: 6+ years of software engineering / AI experience Solid Python development experience Hands-on experience with: Large Language Models (LLMs) RAG Prompt Engineering Agent Frameworks (LangGraph, CrewAI, Semantic Kernel, AutoGen) Vector Databases Experience with Azure OpenAI / Azure AI Services Experience deploying AI solutions in production environments Preferred Qualifications: Healthcare, Prior Authorization, Claims, or RCM experience Experience with AI evaluation and observability tools FHIR, HL7, Epic or healthcare interoperability knowledge At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.