01Responsibilities
Drive responsible use of AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniquesDesign, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needsBuild responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standardsDevelop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilitiesProvide technical leadership for AI initiatives, including Chatbots and conversational AI solutionsPartner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challengesDrive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practicesAccountable for high-quality software deliverables and operational excellenceMentor and train team members on AI/ML technologies, frameworks, and responsible AI practicesCollaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiativesExercise independent judgment to prioritize, plan, and manage AI-related activities and projectsCollaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecyclePlease confirm once your respective roles have been updated. Reach out if you face any challengesComply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do soRequired Qualifications:
Undergraduate degree or equivalent experience8+ years of software engineering experience5+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models4+ years of experience with Web and API development4+ years of experience hosting applications in cloud environments (AWS preferred)Solid experience with Chatbots, Conversational AI, and NLP-based solutionsSolid experience with Agentic AI (MCP or similar agent orchestration frameworks) and Strands AgentsSolid experience in Python or JavaSolid knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations
Preferred Qualifications:
BS in Computer Science, Engineering, or related technical field (or equivalent experience)Experience in the healthcare industryFull-stack engineering experience
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
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