UnitedHealth Group is hiring an AI/ML Engineer to develop software that deploys machine learning models and algorithms into production. In this role, you will use AI/ML technologies including NLP, computer vision, deep learning, and ASR to build systems that can visualize, learn, and respond to complex situations. We are a company on a mission to help people live healthier lives and make the health system work better for everyone.
What You'll Do
- Implement multi-agent AI systems that use LLMs, memory, and tools to reason, plan, and act autonomously
- Build agent-based solutions using function calling, dynamic tool integration, and orchestration frameworks like LangChain, AutoGen, and Semantic Kernel
- Leverage standards like Model Context Protocol (MCP) to define reusable, secure, and composable tool interfaces
- Develop voice-first AI agents using ASR (e.g., Whisper, Azure Speech), multi-turn conversation orchestration, and high-quality TTS
- Design and maintain Retrieval-Augmented Generation (RAG) pipelines using vector databases and Azure Cognitive Search
- Contribute to anomaly detection and fraud modeling efforts, including ML model training, real-time inference, and pipeline optimization
- Build, deploy, and monitor scalable AI services on Azure, including Azure Open AI, Functions, Service Bus, Cosmos DB, and related tools
- Drive innovation in agentic user experiences, enabling AI to operate external tools and services securely on behalf of users
- Review PRs, mentor junior engineers, and collaborate across India and US time zones in a distributed, agile environment
- Analyze and investigate
- Provide explanations and interpretations within your area of expertise
What We're Looking For
- Bachelor's or higher in Computer Science, Engineering, or a related field
- 8+ 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 the 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 databases
- 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
Technical Stack
- LLMs, Azure OpenAI, Azure Cognitive Services, Azure Functions, Azure Service Bus, Azure Cosmos DB, Azure Cognitive Search
- LangChain, AutoGen, Semantic Kernel, Model Context Protocol (MCP)
- Whisper, Azure Speech
- PyTorch, scikit-learn, Hugging Face, Python
- Vector databases
Team & Environment
You will collaborate across India and US time zones in a distributed, agile environment.
Work Mode
This is a global role.
UnitedHealth Group is committed to inclusion, comprehensive benefits, career development, mitigating environmental impact, and enabling equitable care. We are an equal opportunity employer.
