Senior Director AI/ML Engineering - Remote
UnitedHealth Group
- Location
- Eden Prairie, Minnesota
- Work model
- Remote
- Level
- Staff
- Salary
- $203.2k – $348.4k/yr
Skills
About this role
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum Growth Technology is transforming how Optum enables relationships with clients to best service their needs. As part of this transformation, we are building AI-native platforms, intelligent workflows, agentic experiences, and next-generation decision-support capabilities that accelerate growth, improve client engagement, and differentiate Optum in the market. The Senior Director of AI/ML Engineering will serve as a strategic technology leader responsible for defining and executing the Optum Growth AI engineering vision and roadmap. This leader will build and scale a high-performing organization of AI/ML engineers, architects and technologists focused on delivering measurable business value through applied artificial intelligence. This role combines executive leadership, deep technical expertise, and business partnership to transform sales, client management, marketing, product innovation, and operational workflows through AI-enabled capabilities. The successful candidate will partner closely with Growth Office leadership, AI strategy teams, product organizations, engineering leaders, and business stakeholders to establish Optum Growth as an AI-native organization that drives growth, operational efficiency, and exceptional client engagement experiences. You'll 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
AI Strategy & Business Transformation Define and execute the Optum Growth AI/ML engineering strategy aligned to enterprise growth objectives Establish a multi-year roadmap for AI-powered sales, account management, client engagement, proposal management, marketing, and growth operations capabilities Identify and prioritize high-value AI opportunities that improve revenue growth, productivity, customer experience, and decision quality Translate business opportunities into scalable AI-enabled products, platforms, and intelligent workflows Drive measurable business outcomes and value realization from AI investments Building intelligent AI CRM agents to enhance and accelerate our sales teams and process AI Engineering Leadership Build and lead high-performing teams of AI engineers, Forward Deployed Engineers, data engineers, architects, and technical product leaders Establish engineering standards, operating models, and delivery practices for AI-native product and platform development Lead the design, development, deployment, and operationalization of enterprise-grade AI solutions, intelligent agents, reusable AI services, and domain-specific accelerators Build scalable data and AI platforms that support structured and unstructured workloads and move solutions from proof of concept to enterprise-scale production Recruit, develop, and mentor top engineering talent while creating a culture of innovation, accountability, experimentation, and continuous learning Strengthen organizational capabilities in GenAI, Agentic AI, and CRM engineering for large enterprise sales organizations Champion responsible, ethical, secure, and compliant AI practices by ensuring solutions align with enterprise AI governance, privacy, cybersecurity, healthcare regulatory requirements, model monitoring, explainability, risk management, trust, and transparency