Position SummaryAs a Senior AI/ML Engineer within the Optum Health & Financial Tech AI team, you will design and build enterprise-scale generative AI applications and agentic workflows that solve complex health and financial technology challenges. You will collaborate with cross-functional partners to develop multi-step reasoning systems, implement advanced Retrieval-Augmented Generation (RAG) pipelines, and craft responsive, full-stack experiences using modern frameworks like React, Next.js, Python, and PostgreSQL. By deploying innovative AI technologies safely and responsibly, you will directly support our mission of delivering impactful, context-aware digital solutions that improve health outcomes and operational efficiency.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. 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.
Primary Responsibilities:- Design, develop, and deploy enterprise-scale AI-powered solutions and LLM-powered applications using modern GenAI frameworks and APIs with an emphasis on the responsible use of AI
- Develop agentic AI workflows, multi-step reasoning systems (with tool usage and memory), and advanced Retrieval-Augmented Generation (RAG) pipelines
- Design and develop responsive frontend applications using React and Nextjs, and build backend services, APIs, and microservices using Python and Nodejs
- Build systems for document ingestion, chunking, embeddings, semantic search, and advanced retrieval strategies (hybrid search, GraphRAG, contextual enrichment)
- Design and optimize relational data models using PostgreSQL and integrate vector databases with relational data sources for contextual responses
- Define end-to-end architecture spanning frontend, backend, AI, and data layers, ensuring performance, scalability, and reliability
- Lead technical decision-making, design reviews, and code reviews, while mentoring junior engineers in AI engineering and full-stack best practices
- Use enterprise-approved AI tools to streamline developer workflows, automate tasks, and drive continuous improvement across the development lifecycle
- Evaluate emerging AI trends, frameworks, tools, and technologies to inform solution design, strategic innovation, and technical direction
- Collaborate with product, business, and engineering teams to translate complex business requirements into scalable technical designs, communicating complex AI concepts to non-technical stakeholders
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:- Bachelor's degree or equivalent experience (such as an additional 4+ years of software development experience in lieu of a degree)
- 6+ years of professional experience in software engineering or AI/ML engineering
- 4+ years of hands-on experience with frontend technologies (React, Nextjs) and backend development (Python or Nodejs, and REST APIs)
- 3+ years of experience with relational database design and optimization using PostgreSQL
- 2+ years of experience building and deploying end-to-end Generative AI and LLM-powered applications in production
- 2+ years of experience designing and implementing RAG (Retrieval-Augmented Generation) pipelines, including semantic search, embeddings, and vector databases
- 1+ years of experience with AI orchestration frameworks (such as LangChain, LangGraph, or CrewAI) or developing agentic, multi-agent AI workflows
Preferred Qualifications:- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field
- Experience implementing hybrid search strategies, GraphRAG, and contextual enrichment patterns for document retrieval
- Deep understanding of distributed systems, microservices architecture, and enterprise application scalability
- Solid expertise in designing AI evaluation metrics and establishing safety guardrails for reliable model outputs
- Proven ability to mentor engineering teams, lead technical design reviews, and establish best practices in full-stack and AI development
- Proven excellent cross-functional communication skills, with the ability to translate complex technical AI concepts into clear business insights for stakeholders
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
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