Director, AI/ML Engineering - Remote

UnitedHealth Group•Eden Prairie, MN

6h•Remote

About The Position

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. 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.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
10+ years of engineering experience, including 3+ years leading AI/ML teams (preferably with GenAI project experience)
5+ years of experience with cloud platforms (AWS, Azure, GCP), MLOps, and modern engineering practices
5+ years of experience with Python, TensorFlow/PyTorch, and relevant GenAI libraries
2+ years of experience and success deploying generative AI models (e.g., LLMs, foundation models) in production environments for over at least three projects
1+ years of experience with regulatory requirements and data security in healthcare (HIPAA/HITECH)

Nice To Haves

Experience in the healthcare or PBM industry along with a deep understanding of PBM workflows
Proven excellent leadership, communication, and stakeholder management skills

Responsibilities

Lead, mentor, and grow a team of engineers and data scientists specializing in generative AI, machine learning, and cloud-based solutions
Develop and execute a strategic roadmap for GenAI-driven initiatives aligned with PBM business goals
Oversee the architecture, development, and integration of GenAI models into PBM workflows such as prior authorization, formulary management, medication adherence, and claims processing
Collaborate cross-functionally with Product, Clinical, Data, and Compliance teams to identify high-impact AI use cases
Ensure compliance with HIPAA, HITECH, and other relevant healthcare regulations in all engineering practices and solutions
Establish best practices for model governance, data privacy, security, and responsible AI use
Evaluate and select appropriate GenAI technologies, frameworks, and vendors
Stay abreast of developments in generative AI, healthcare technology, and regulatory changes
Monitor performance and ROI of GenAI solutions, driving continuous improvement
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making