You9ll 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: - 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
You9ll 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:- Bachelor9s or Master9s 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
Preferred Qualifications: - Experience scoping and delivering large, cross-team AI initiatives (budget/program-management experience is a plus)
- Exposure to healthcare payer, claims, provider operations, utilization management, or other regulated industries
- Experience driving enterprise cloud modernization or platform transformation initiatives
- Strong stakeholder communication and cross-functional collaboration skills
*All employees working remotely will be required to adhere to UnitedHealth Group9s 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, you9ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 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.
