Note: The job is a remote job and is open to candidates in USA. UnitedHealthcare is seeking a senior leader to guide multiple AI engineering teams and scale enterprise AI, Generative AI, Agentic AI, and intelligent automation solutions. The role oversees strategic AI platforms and business-critical products for claims automation, decision systems, knowledge-driven workflows, and healthcare operations, while driving responsible AI governance and delivery.
Responsibilities
- Lead AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniques
- Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs
- Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards
- Leverage emerging offerings from cloud service providers to enable efficient and cost effective AI solutions
- Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities
- Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions
- Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges
- Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices
- Accountable for high-quality software deliverables and operational excellence
- Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices
- Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiatives
- Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects
Skills
- Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or related technical field
- 12+ years of software engineering experience
- 8+ years of AI/ML engineering experience
- 5+ years managing engineering teams, managers, and technical leaders
- 5+ years delivering enterprise-scale AI, ML, Data, or Cloud platforms
- 4+ years hands-on experience with Generative AI, LLMs, NLP, and AI architecture
- 3+ years experience with Agentic AI, RAG, AI orchestration, and intelligent automation
- Demonstrated solid Python development background and familiarity with enterprise-scale AI platforms
- Experience with AWS cloud-native services including Bedrock, SageMaker, Lambda, ECS/EKS, OpenSearch, and S3
- Experience leading AI governance, model lifecycle management, operationalization, and production support processes
- Experience managing multi-million-dollar AI transformation programs
- Proven exposure to healthcare payer, claims, provider operations, utilization management, or regulated industries
- Experience driving enterprise cloud modernization and platform transformation initiatives
- Demonstrated solid executive communication, strategic planning, stakeholder management, and organizational leadership skills
Benefits
- Comprehensive benefits package (subject to eligibility requirements).
- Incentive and recognition programs (subject to eligibility requirements).
- Equity stock purchase (subject to eligibility requirements).
- 401k contribution (subject to eligibility requirements).
- Remote work from anywhere within the U.S.; hires in the Minneapolis or Washington, D.C. area must work in the office a minimum of four days per week.
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