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 perks, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive perks 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.
About the Role
Primary Responsibilities:
AI Applications & Feature Development
Develop and refine LLM-based features such as chat, summarization, knowledge search, and data extraction
Implement RAG (retrieval augmented generation) workflows including preprocessing, embedding generation, and vector search
Model & Architecture Understanding
Assist in model interpretability and improving reliability of model outputs
AI Quality, Evaluation & Safety




Help improve accuracy by reducing hallucinations through prompting, guardrails, and retrieval improvements
Support benchmarking, evaluation tests, and quality checks
Contribute to Responsible AI practices
Integration & Orchestration
Build services integrating AI APIs (OpenAI, Azure, open source LLMs)
Implement tool/agent orchestration flows with guidance from senior team members
Work with vector databases such as FAISS, Pinecone, or pgvector
Performance & Optimization
Contribute to enhancements in latency, throughput, and token efficiency
Support implementation of model compression and quantization techniques
Develop caching and batching strategies to improve system performance
Collaboration & Delivery
Work closely with product, data, and engineering teams to deliver high quality AI features
Participate in code reviews, team design discussions, and knowledge sharing
Comply with the terms and conditions of t

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