Sr AI/ML Engineer- UHC Tech (Remote)

UnitedHealth Group • Minnetonka, MN

2d • $120,100 - $214,500 • Remote

About The Position

UnitedHealthcare is seeking a Senior AI/ML Engineer with strong full-stack development experience to support the LMIS team and UnitedHealthcare Employer & Individual modernization and underwriting. The role designs, builds, and deploys secure, scalable applications combining responsive user interfaces, backend services, APIs, data integrations, cloud technologies, AI/ML, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI capabilities. The engineer works with engineering, architecture, product, and underwriting teams to modernize legacy systems, automate complex workflows, and deliver production-ready solutions that improve operational efficiency and the health benefits planning experience.

The position emphasizes responsible AI and the development of production-grade AI/ML capabilities, APIs, and machine learning pipelines for underwriting and benefit determination. It also supports secure and interoperable agentic AI workflows, and uses enterprise-approved AI tools to improve productivity. The stated salary range is $120,100 to $214,500 annually for full-time employment, with pay based on factors including local labor markets, education, work experience, and certifications.

Requirements

• At least 5 years of software engineering, system integration, or machine learning engineering experience.
• At least 3 years of hands-on full-stack development experience with JavaScript or TypeScript, a modern front-end framework, backend services, RESTful APIs, and relational or NoSQL databases.
• At least 3 years of professional experience developing and deploying production web APIs, such as FastAPI, Flask, or RESTful services.
• At least 3 years of Python programming experience, including standard machine learning libraries such as NumPy, Pandas, Scikit-Learn, PyTorch, or TensorFlow.
• At least 1 year of hands-on experience integrating or working with LLMs or generative AI concepts.
• Experience designing or implementing RAG pipelines, including embeddings, vector databases, semantic search, and LLM orchestration.
• Valid driver’s license and access to reliable transportation.

Nice To Haves

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field, or equivalent years of experience.
• Experience in health insurance, financial services, or supporting underwriting systems and technologies.
• Experience using generative AI development tools such as LangChain, Hugging Face, or prompt engineering frameworks to build application solutions.
• Experience with vector databases, knowledge retrieval patterns, prompt grounding, tool calling, or enterprise search integration.
• Experience with cloud platforms such as Azure, AWS, or GCP and containerization tools such as Docker or Kubernetes.
• Familiarity with CI/CD deployment pipelines and git-based source control workflows.
• Experience with React or Angular, automated testing, secure coding, application monitoring, and integrating full-stack applications with AI/ML or enterprise services.
• Familiarity with agent orchestration frameworks, multi-agent systems, MCP servers and clients, and secure agent-to-agent communication design patterns.
• Familiarity with MLOps frameworks, model performance monitoring, and model registries.
• Excellent communication and collaboration skills, including the ability to explain technical concepts to technical and non-technical stakeholders.

Responsibilities

• Design, develop, and deploy AI-powered solutions and platforms for complex business challenges, emphasizing responsible AI use.
• Design and implement RAG pipelines integrating enterprise knowledge sources, vector search, embeddings, and LLM orchestration patterns.
• Support agentic AI architectures by integrating Model Context Protocol (MCP) capabilities and agent-to-agent communication protocols for secure, interoperable workflow execution.
• Use enterprise-approved AI tools to improve productivity, streamline workflows, and automate repetitive engineering tasks.
• Evaluate emerging AI/ML trends and approved toolsets to inform solution design, architectural decisions, and underwriting and modernization initiatives.
• Design, develop, and optimize Python-based AI/ML capabilities for underwriting and benefit determination needs.
• Build, integrate, and maintain high-performance, secure API endpoints that expose machine learning models and LLM functionality to core underwriting systems.
• Integrate LLMs and advanced AI model architectures into production to improve user workflows, benefit assessments, and operational efficiency.
• Collaborate with software engineers, data engineers, and underwriting stakeholders to deliver scalable machine learning pipelines and microservices.
• Test, monitor, and debug deployed models to support availability, security, and performance.

Benefits

• Comprehensive benefits package, subject to eligibility requirements.
• Incentive and recognition programs, subject to eligibility requirements.
• Equity stock purchase, subject to eligibility requirements.
• 401(k) contribution, subject to eligibility requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed