Director AI/ML Engineering - Eden Prairie, MN

UnitedHealth GroupEden Prairie, MN
$176,700 - $302,900Remote

About The Position

As a Director AI/ML Engineering within Optum Health Financial Tech, you will lead the enterprise vision, strategy, and execution of artificial intelligence and machine learning technology solutions. You will champion AI as a key driver of organizational success, shaping how intelligent systems and data products are built, deployed, and scaled across health financial platforms. In this role, you will lead high-performing engineering teams, foster a culture of responsible and ethical AI, and partner closely with business executives to deliver transformative business value and improve health financial outcomes for millions of users.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent software experience in lieu of a degree)
  • 10+ years of progressive technology leadership experience in software engineering, data engineering, or machine learning engineering
  • 5+ years of direct experience managing, mentoring, and scaling high-performing technical teams in AI/ML engineering or advanced analytics
  • 5+ years of experience driving AI strategy, overseeing end-to-end machine learning system lifecycles, and delivering measurable business outcomes
  • 3+ years of experience with enterprise cloud platform architectures (e.g., AWS, Azure, GCP) and AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Demonstrated experience establishing MLOps standards, AI governance frameworks, and ethical compliance processes in an enterprise environment

Nice To Haves

  • Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field
  • Leadership experience within financial technology (FinTech), health financial platforms, or healthcare IT ecosystems
  • Strategic experience building and deploying Generative AI models, Large Language Models (LLMs), and natural language processing (NLP) applications at scale
  • Solid executive communication and stakeholder management skills with a proven track record of aligning technology roadmaps with executive strategy

Responsibilities

  • Integrate enterprise AI tools, set AI goals in team development plans, and align hiring with technical competencies while actively removing barriers to accelerate adoption
  • Champion the ethical use of AI by embedding transparency, fairness, accountability, and data privacy throughout the entire solution lifecycle
  • Strategically use AI and machine learning technologies to solve complex healthcare and financial challenges, unlock operational opportunities, and deliver tangible business value
  • Champion AI as a core driver of team success and proactively shape how AI systems are developed, deployed, monitored, and scaled across enterprise platforms
  • Provide technical and strategic leadership for AI/ML engineering architecture, modern MLOps practices, automated CI/CD pipelines, and cloud platform integration
  • Partner with senior leaders, product owners, and enterprise architects to define long-term AI technology roadmaps that align with business growth and innovation goals

Benefits

  • comprehensive benefits package
  • incentive and recognition programs
  • equity stock purchase
  • 401k contribution
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