Lead AI Software Engineer - Remote | Minnetonka, Minnesota | Remote

Primary Responsibilities: Lead AI/ML adoption for the team - designing, developing, testing, deploying, and maintaining AI-powered solutions that combine Generative AI and traditional ML techniques Provide technical leadership for AI initiatives (e.g., conversational AI/chatbots, predictive analytics, intelligent automation), partnering with product management, architecture, and engineering leadership to solve healthcare-specific challenges Build responsible AI solutions and services for the Provider community, ensuring compliance with ethical and regulatory standards, and lead AI governance, model lifecycle management, and production support Evaluate and leverage emerging cloud AI/ML offerings to deliver efficient, cost-effective solutions, including integrating AI into broader cloud modernization and digital-first initiatives Drive alignment between AI initiatives and enterprise strategy, independently prioritizing and planning work against business objectives Own the quality and operational excellence of AI software deliverables in production Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices 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 or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field, or equivalent practical experience 12+ years of software engineering experience, including 4+ years focused on AI/ML engineering 4+ years delivering enterprise-scale AI, ML, Data, or Cloud platforms in production 3+ years in a technical leadership role - setting technical direction, leading engineering teams, and mentoring engineers (formal people-management experience is a plus, not a requirement) Hands-on experience with Generative AI, including 3+ years with LLMs, NLP, and AI architecture, and 2+ years of applied experience with agentic AI patterns, RAG, and AI orchestration/automation frameworks Experience with cloud-native AI/ML services and infrastructure across major providers - e.g., managed GenAI/ML platforms (AWS Bedrock/SageMaker, Azure OpenAI Service/Azure ML, GCP Vertex AI), serverless compute (Lambda/Azure Functions/Cloud Functions), container orchestration (ECS/EKS, AKS, GKE), managed search/vector stores (OpenSearch, Azure AI Search, Elasticsearch), and object storage (S3, Blob Storage, Cloud Storage) Experience with AI governance, model lifecycle management, and production operationalization/support processes Strong Python development skills and familiarity with enterprise-scale AI/ML platforms

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. 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.