Note: The job is a remote job and is open to candidates in USA. Optum is a global leader in health care innovation, dedicated to developing cutting-edge solutions that enhance health outcomes. They are seeking a Senior AI/ML Engineer to design, develop, and deploy scalable AI/ML models and automation solutions to address complex business challenges, collaborating with various teams to deliver AI-driven solutions.
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
- 8+ years of software engineering, AI engineering, or machine learning engineering experience
- 5+ years of strong Python development experience supporting AI and data-intensive applications
- 4+ 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
- 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
- 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
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
- Flexibility to work remotely\• from anywhere within the U.S.
- For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
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