Note: The job is a remote job and is open to candidates in USA. UnitedHealth Group, through Optum Tech, is hiring a Senior AI/ML Engineer for its Claim Edit Hub team. The role develops AI/ML models and agentic workflows that derive claim rules from source documents, making them available in real time and supporting trial-claim cost estimates. It also builds and operates production AI/ML pipelines and automation while ensuring performance, scalability, governance, and compliance.

Responsibilities

• Design, develop, and deploy scalable AI/ML models and automation solutions to solve complex business problems
• Build and maintain end-to-end ML pipelines including data ingestion, feature engineering, model training, and deployment
• Develop automation frameworks for model training, testing, validation, and monitoring (MLOps)
• Collaborate with data science, engineering, product, and business teams to deliver AI-driven solutions
• Optimize model performance through continuous evaluation, tuning, and retraining strategies
• Ensure scalability, reliability, and governance of AI models including compliance and data integrity
• Integrate AI/ML solutions into production systems using CI/CD and cloud platforms
• Stay updated with emerging AI/ML technologies and automation best practices to drive innovation

Skills

• Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field
• 5+ years of software engineering, AI engineering, or machine learning engineering experience
• 3+ years of hands-on experience developing AI/ML solutions, including Generative AI, LLMs, NLP, and traditional machine learning models
• 3+ years of experience designing, building, and deploying production-grade LLM applications, RAG pipelines, AI agents, and orchestration workflows
• 5+ years of solid Python development experience supporting AI and data-intensive applications
• 3+ years of experience with AWS AI and cloud-native services including Bedrock, SageMaker, Lambda, OpenSearch, ECS/EKS, and S3
• 2+ years of experience with vector databases, embeddings, semantic search, and enterprise knowledge retrieval systems
• 2+ years of experience implementing MLOps, LLMOps, model monitoring, evaluation frameworks, and AI operationalization practices
• 2+ years of hands-on experience with Agentic AI frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP, or AgentCore
• Experience implementing multi-agent architectures and autonomous workflow orchestration
• Experience with AI evaluation frameworks, hallucination reduction techniques, model benchmarking, and prompt optimization
• Demonstrated familiarity with Knowledge Graphs, Ontologies, GraphRAG, and enterprise knowledge systems
• Experience building reusable AI platform services supporting multiple use cases
• Experience implementing Retrieval-Augmented Generation (RAG), prompt engineering, semantic search, and knowledge retrieval systems

Benefits

• A comprehensive benefits package (subject to eligibility requirements)
• Incentive and recognition programs (subject to eligibility requirements)
• Equity stock purchase (subject to eligibility requirements)
• 401k contribution (subject to eligibility requirements)
• Flexibility to work remotely from anywhere within the U.S.; hires in the Minneapolis or Washington, D.C. area must work in the office a minimum of four days per week.

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