Job description

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 in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together. As the Senior Director of AI Infrastructure & Platform Engineering within Global Technology Services (GTS) at Optum Technology, you will lead the strategic vision, platform architecture, and operational engineering of enterprise AI infrastructure. Our mission in GTS is to be client-obsessed, strengthen our foundation, accelerate innovation, and prepare our technology organization for the future. In this executive engineering leadership role, you will connect AI/ML engineering requirements with high-performance compute and platform services across both cloud and on-premises environments. By driving operational and engineering excellence, you will build secure, resilient, and highly available AI platforms that accelerate enterprise AI adoption, deliver exceptional client experiences, and cultivate top-tier engineering talent. 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: • Define and drive the strategic enterprise architecture for AI infrastructure and platform services across cloud and on-premises environments • Design, develop, and deploy AI-powered platform and infrastructure solutions to address complex enterprise business challenges with an emphasis on responsible AI practices • Connect AI/ML engineering needs with scalable compute, storage, high-speed networking, and platform capabilities • Provide solution engineering and architectural leadership for high-performance on-premises, hybrid, and cloud AI hosting environments • Evaluate emerging trends in AI hardware, specialized compute platforms, and engineering frameworks to inform solution design and drive strategic innovation • Leverage enterprise-approved AI tools and modern platform practices to streamline engineering workflows, automate infrastructure management, and drive continuous operational improvement • Lead, mentor, and develop high-performing engineering teams, building a solid culture focused on technical excellence and talent development • Partner across Global Technology Services and cross-functional technology teams to ensure consistent, reliable, and simple-to-use platform experiences You'll 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: • 10+ years of technology engineering experience in enterprise infrastructure, cloud platforms, or distributed systems architecture • 5+ years of leadership and management experience directing technical engineering organizations • 3+ years of experience architecting and deploying AI/ML infrastructure, compute platforms (e.g., GPUs, specialized AI accelerators), or high-performance compute environments • Demonstrated experience designing and delivering on-premises or hybrid enterprise infrastructure and platform solutions • Proven experience utilizing modern infrastructure automation and enterprise-approved AI tools to streamline operational workflows Preferred Qualifications: • Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, or a related technical field • Experience architecting enterprise infrastructure optimized for Large Language Model (LLM) training, fine-tuning, and low-latency inference • Proven depth of expertise in container orchestration (e.g., Kubernetes), MLOps platform integration, and multi-cloud platform architectures • Proven track record of driving operational and engineering excellence across large-scale, high-availability technology environments *All employees working remotely will be required to adhere to UnitedHealth Group's 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, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $203,200 - $348,400 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. At UnitedHealth Group, our mission is to help people live healthier lives and help make the health system work better for everyone. Together, we are shaping the future of healthcare by harnessing technology and innovation to make care simpler to navigate, more affordable and more connected for the people we serve. We are committed to creating an inclusive workplace where everyone feels welcomed, valued, heard and respected, empowering people to bring their authentic selves to work and strengthening our collective impact through diverse talents, backgrounds, experiences and perspectives. UnitedHealth Group and its affiliated brands are an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group and its affiliated brands are a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Requirements

Must-haves

Define and drive the strategic enterprise architecture for AI infrastructure and platform services across cloud and on-premises environments
Design, develop, and deploy AI-powered platform and infrastructure solutions to address complex enterprise business challenges with an emphasis on responsible AI practices
Connect AI/ML engineering needs with scalable compute, storage, high-speed networking, and platform capabilities
Provide solution engineering and architectural leadership for high-performance on-premises, hybrid, and cloud AI hosting environments
Evaluate emerging trends in AI hardware, specialized compute platforms, and engineering frameworks to inform solution design and drive strategic innovation
Leverage enterprise-approved AI tools and modern platform practices to streamline engineering workflows, automate infrastructure management, and drive continuous operational improvement
Lead, mentor, and develop high-performing engineering teams, building a solid culture focused on technical excellence and talent development
Partner across Global Technology Services and cross-functional technology teams to ensure consistent, reliable, and simple-to-use platform experiences
10+ years of technology engineering experience in enterprise infrastructure, cloud platforms, or distributed systems architecture
5+ years of leadership and management experience directing technical engineering organizations
3+ years of experience architecting and deploying AI/ML infrastructure, compute platforms (e.g., GPUs, specialized AI accelerators), or high-performance compute environments
Demonstrated experience designing and delivering on-premises or hybrid enterprise infrastructure and platform solutions
Proven experience utilizing modern infrastructure automation and enterprise-approved AI tools to streamline operational workflows
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
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.
UnitedHealth Group and its affiliated brands are a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Nice-to-haves

Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, or a related technical field
Experience architecting enterprise infrastructure optimized for Large Language Model (LLM) training, fine-tuning, and low-latency inference
Proven depth of expertise in container orchestration (e.g., Kubernetes), MLOps platform integration, and multi-cloud platform architectures
Proven track record of driving operational and engineering excellence across large-scale, high-availability technology environments

Application prep

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Keywords to mirror

aimlllmkubernetes

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Effort: medium

Benefits

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Vision

401k