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.
Primary Responsibilities:
- AI Engineering Projects: Architect, Design and implement multi-agent AI systems that use LLMs, memory, and tools to reason, plan, and act autonomously
- Function Calling & Orchestration: Build agent-based solutions that use function calling, dynamic tool integration, and orchestration frameworks like LangChain, AutoGen, and Semantic Kernel
- Modular Agent Design: Leverage standards like Model Context Protocol (MCP) to define reusable, secure, and composable tool interfaces
- Voice-Driven Interfaces: Develop voice-first AI agents using ASR (e.g. Whisper, Azure Speech), multi-turn conversation orchestration, and high-quality TTS
- RAG & Memory Pipelines: Design and maintain Retrieval-Augmented Generation (RAG) pipelines using vector databases and Azure Cognitive Search
- Fraud Detection & ML Ops: Contribute to anomaly detection and fraud modeling efforts, including ML model training, real-time inference, and pipeline optimization
- Cloud-Native AI Deployment: Build, deploy, and monitor scalable AI services on Azure, including Azure OpenAI, Functions, Service Bus, Cosmos DB, and related tools
- Agentic UX & AI as an Interface: Drive innovation in agentic user experiences, enabling AI to operate external tools and services securely on behalf of users
Mentorship & Collaboration: Review PRs, mentor junior engineers, and collaborate across India and US time zones in a distributed, agile environment
- 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:
- Bachelor's or higher in Computer Science, Engineering, or related field
- 10+ years of total engineering experience, including 2+ years in AI/ML product engineering roles
- Proven experience building and shipping LLM-powered or autonomous agent systems in production
- Experience with Azure AI stack (Azure OpenAI, Cognitive Services, Functions, Service Bus, Cognitive Search)
- Experience with fraud detection models or anomaly detection pipelines
- Deep understanding of LLM integration, tool calling, prompt engineering, and context-aware task execution
- Solid Python development skills proficiency with ML frameworks like PyTorch, scikit-learn, Hugging Face
- Proven hands-on work with retrieval techniques (RAG, semantic search, embeddings) and vector DBs
- Proven solid grasp of voice systems, including ASR, TTS, and real-time audio/telephony integration
- Proven track record of contributing to robust, testable, and scalable engineering systems
