Senior AI/ML Engineer - Python, Agentic AI, Cloud

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:

• Build agentic workflows using Semantic Kernel with tool calling, multi-agent coordination, and safe tool execution
• Implement RAG pipelines (chunking, embeddings, retrieval, ranking) with vector stores (e.g., Azure AI Search, Pinecone, Weaviate, FAISS)
• Ship robust services in (C# / Typescript) with Docker/Kubernetes, CI/CD, observability, and cost/latency optimization
• Deploy and work with Cloud Native solutions (e.g., Azure, AWS, GCP)
• Integrate with enterprise systems via APIs, MCP servers, message buses, and event-driven architectures; design function/tool schemas
• Apply Responsible AI practices-prompt injection defenses, content filters, PII/PHI redaction, audit logging, and human-in-the-loop
• Establish offline/online LLM evals (accuracy, hallucination rate, safety) using frameworks like Ragas/DeepEval/LangChain Eval
• Guide and mentor junior developers to foster team growth
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field
• 8+ years of experience with proficiency in languages such as C#, Java Python, or Go
• Build agentic workflows using Semantic Kernel with tool calling, multi-agent coordination, and safe tool execution
• Implement RAG pipelines (chunking, embeddings, retrieval, ranking) with vector stores (e.g., Azure AI Search, Pinecone, Weaviate, FAISS)
• Ship robust services (C# / Typescript) with Docker/Kubernetes, CI/CD, observability, and cost/latency optimization
• Deploy and work with Cloud Native solutions (e.g., Azure, AWS, GCP)
• Integrate with enterprise systems via APIs, MCP servers, message buses, and event-driven architectures; design function/tool schemas
• Apply Responsible AI practices-prompt injection defenses, content filters, PII/PHI redaction, audit logging, and human-in-the-loop
• Establish offline/online LLM evals (accuracy, hallucination rate, safety) using frameworks like Ragas/DeepEval/LangChain Eval 

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.