Sr Dir, AI Infrastructure & Platform Engineering - Remote
About The Position
As Senior Director of AI Infrastructure & Platform Engineering within Global Technology Services at Optum Technology, you will lead the strategic vision, platform architecture, and operational engineering of enterprise AI infrastructure. You will connect AI/ML engineering requirements with high-performance compute and platform services across cloud and on-premises environments. The role focuses on building secure, resilient, highly available AI platforms that accelerate enterprise AI adoption, support exceptional client experiences, and develop engineering talent. The position is remote within the United States, with employees hired in the Minneapolis or Washington, D.C. area required to work in the office at least four days per week. Remote employees must follow UnitedHealth Group’s Telecommuter Policy. The role offers an annual salary range of $203,200–$348,400 based on full-time employment, with benefits and incentives subject to eligibility requirements.
Requirements
- 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 such as GPUs or specialized AI accelerators, or high-performance compute environments.
- Demonstrated experience designing and delivering on-premises or hybrid enterprise infrastructure and platform solutions.
- Proven experience using modern infrastructure automation and enterprise-approved AI tools to streamline operational workflows.
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.
- Depth of expertise in container orchestration such as Kubernetes, MLOps platform integration, and multi-cloud platform architectures.
- Track record of driving operational and engineering excellence across large-scale, high-availability technology environments.
Responsibilities
- Define and drive 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 for complex enterprise business challenges, emphasizing 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 AI hardware, specialized compute platforms, and engineering frameworks to inform solution design and strategic innovation.
- Use enterprise-approved AI tools and modern platform practices to streamline engineering workflows, automate infrastructure management, and improve operations continuously.
- Lead, mentor, and develop high-performing engineering teams, fostering technical excellence and talent development.
- Partner across Global Technology Services and cross-functional technology teams to provide consistent, reliable, and simple-to-use platform experiences.
Benefits
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401(k) contribution
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
