Sr AI/ML Engineer- UHC Tech at UnitedHealth Group

Job description

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together. We are seeking a Sr . AI/ML Engineer with strong full stack development experience to join our LMIS team supporting UnitedHealthcare Employer & Individual (E&I) modernization and underwriting. In this role, you will design, build, and deploy secure, scalable applications that combine responsive user interfaces, backend services, APIs, data integrations, and cloud technologies with AI/ML, Large Language Models (LLMs), retrieval-augmented generation (RAG), and agentic AI capabilities. You will collaborate 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. Join us to start Caring. Connecting. Growing together . Primary Responsibilities: • Design, develop, and deploy AI-powered solutions and platforms to address complex business challenges with a solid emphasis on the responsible use of AI • Design and implement retrieval-augmented generation (RAG) pipelines that integrate 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 • Leverage enterprise-approved AI tools to enhance productivity and innovation by streamlining workflows and automating repetitive engineering tasks • Evaluate emerging trends and approved toolsets in the AI/ML landscape to inform solution design, architectural decisions, and strategic underwriting and modernization initiatives • Design, develop, and optimize robust AI/ML capabilities using Python to address complex underwriting and benefit determination business needs • Build, integrate, and maintain high-performance, secure API endpoints to expose machine learning models and LLM functionalities to core underwriting systems • Integrate Large Language Models (LLMs) and advanced AI model architectures into production environments to enhance user workflows, benefit assessments, and operational efficiency • Collaborate with software engineers, data engineers, and underwriting stakeholders to deliver scalable machine learning pipelines and microservices • Ensure high availability, security, and performance of deployed models through rigorous testing, monitoring, and debugging 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: • 5+ years of software engineering, system integration, or machine learning engineering experience • 3+ years of hands-on full stack development experience using JavaScript or TypeScript, a modern front-end framework, backend services, RESTful APIs, and relational or NoSQL databases • 3+ years of professional experience developing and deploying robust web APIs (such as FastAPI, Flask, or RESTful services) in production environments • 3+ years of experience programming in Python, including standard machine learning libraries (such as NumPy, Pandas, Scikit-Learn, PyTorch, or TensorFlow) • 1+ years of hands-on experience integrating or working with Large Language Models (LLMs) or generative AI concepts • Experience designing or implementing retrieval-augmented generation (RAG) pipelines, including embeddings, vector databases, semantic search, and LLM orchestration • Driver's License and access to a reliable transportation Preferred Qualifications: • 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 utilizing 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 platform environments (e.g., Azure, AWS, 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/clients, and secure agent-to-agent communication design patterns • Familiarity with MLOps frameworks, model performance monitoring, and model registries • Proven excellent communication and collaboration skills with the ability to articulate technical concepts to both technical and non-technical stakeholders 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 to $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and help make the health system work better for everyone. Together, we are shaping the future of healthcare by harnessing technology and innovation to make care simpler to navigate, more affordable and more connected for the people we serve. We are committed to creating an inclusive workplace where everyone feels welcomed, valued, heard and respected, empowering people to bring their authentic selves to work and strengthening our collective impact through diverse talents, backgrounds, experiences and perspectives. UnitedHealth Group and its affiliated brands are an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group and its affiliated brands are a drug-free workplace. Candidates are required to pass a drug test before beginning employment. #optumtechpj

Requirements

Must-haves

Design, develop, and deploy AI-powered solutions and platforms to address complex business challenges with a solid emphasis on the responsible use of AI
Design and implement retrieval-augmented generation (RAG) pipelines that integrate 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
Leverage enterprise-approved AI tools to enhance productivity and innovation by streamlining workflows and automating repetitive engineering tasks
Evaluate emerging trends and approved toolsets in the AI/ML landscape to inform solution design, architectural decisions, and strategic underwriting and modernization initiatives
Design, develop, and optimize robust AI/ML capabilities using Python to address complex underwriting and benefit determination business needs
Build, integrate, and maintain high-performance, secure API endpoints to expose machine learning models and LLM functionalities to core underwriting systems
Integrate Large Language Models (LLMs) and advanced AI model architectures into production environments to enhance user workflows, benefit assessments, and operational efficiency
Collaborate with software engineers, data engineers, and underwriting stakeholders to deliver scalable machine learning pipelines and microservices
Ensure high availability, security, and performance of deployed models through rigorous testing, monitoring, and debugging
5+ years of software engineering, system integration, or machine learning engineering experience
3+ years of hands-on full stack development experience using JavaScript or TypeScript, a modern front-end framework, backend services, RESTful APIs, and relational or NoSQL databases
3+ years of professional experience developing and deploying robust web APIs (such as FastAPI, Flask, or RESTful services) in production environments
3+ years of experience programming in Python, including standard machine learning libraries (such as NumPy, Pandas, Scikit-Learn, PyTorch, or TensorFlow)

Nice-to-haves

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field (or equivalent years of experience)
Experience utilizing 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 platform environments (e.g., Azure, AWS, 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/clients, and secure agent-to-agent communication design patterns
Familiarity with MLOps frameworks, model performance monitoring, and model registries
Proven excellent communication and collaboration skills with the ability to articulate technical concepts to both technical and non-technical stakeholders
#optumtechpj

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlllmpythonapimachine learningjavascripttypescriptazureawsgcpdockerkubernetesci/cdreactangular

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Benefits

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Health Insurance

401k