AI/ML Engineer

Описание

Optum Tech develops cutting-edge solutions to help people live healthier lives and improve the healthcare system. The Provider Digital Technology team delivers a unified digital entry point for UnitedHealthcare providers and partners to access tools, services, and information.

Responsibilities

• Lead the responsible adoption of AI/ML across the team, applying Generative AI, Agentic AI, NLP, predictive modeling, and traditional machine learning to high-value provider use cases
• Design, build, evaluate, deploy, and continuously improve production-grade AI/ML services, APIs, and applications that meet customer, business, reliability, and scalability needs
• Engineer responsible AI solutions with appropriate guardrails, privacy and security controls, human oversight, auditability, and compliance with enterprise and regulatory standards
• Develop LLM-powered capabilities using prompt engineering, retrieval-augmented generation (RAG), embeddings, vector search, tool use, structured outputs, and model evaluation techniques
• Provide technical leadership for Agentic AI, chatbots, voice assistants, conversational AI, and workflow automation, including orchestration through MCP or similar frameworks
• Partner with product managers, architects, data scientists, platform teams, and engineering leaders to translate complex health care needs into scalable AI solutions
• Align solution architecture with enterprise AI strategy, reusable platform capabilities, engineering standards, cloud modernization, and measurable business outcomes
• Establish high-quality engineering practices for experimentation, automated testing, model and prompt evaluation, CI/CD, observability, performance, resiliency, and production support
• Mentor engineers on AI/ML architecture, Python and Java development, responsible AI, LLM application patterns, evaluation frameworks, and operational excellence
• Integrate AI capabilities with enterprise data, APIs, event-driven services, cloud platforms, and digital channels while maintaining secure and reliable data flows
• Exercise independent judgment to prioritize technical work, manage delivery risks, communicate tradeoffs, and drive AI initiatives from proof of concept through production scale

Requirements

• 2+ years of hands-on experience with chatbots, conversational AI, NLP, RAG, embeddings, vector databases, and semantic search patterns
• 3+ years of solid programming experience in Python or Java, including clean code, automated testing, source control, and modern software engineering practices
• 1+ years of hands-on experience with Agentic AI, tool-calling workflows, MCP or similar orchestration frameworks, and Strands Agents
• Must be authorized to work in the United States without the need for current or future employer-sponsored visa sponsorship

Nice to have

• Solid knowledge of AI/ML production operations, including security, access controls, responsible AI guardrails, evaluation, logging, monitoring, performance tuning, disaster recovery, and incident support
• Experience delivering production AI/ML solutions in the health care industry or another highly regulated environment
• Full-stack engineering experience and familiarity with modern web frameworks, cloud-native architectures, and infrastructure-as-code
• Experience with LLM evaluation, prompt testing, RAG quality measurement, model monitoring, and AI observability
• Experience with MLOps or LLMOps, CI/CD, containers, Kubernetes, feature or model lifecycle management, and production telemetry
• Knowledge of data engineering, vector stores, enterprise search, and secure integration of structured and unstructured data sources

We offer

• You'll enjoy the 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
• Salary for this role will range from $98,500 - $176,000 annually based on full-time employment
• Comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements)
• Far-reaching choice of benefits and incentives