Note: The job is a remote job and is open to candidates in USA. Optum is hiring a Senior Director of AI Infrastructure & Platform Engineering to lead the strategic vision, architecture, and operational engineering of enterprise AI infrastructure. The role connects AI/ML engineering needs with high-performance compute and platform services across cloud and on-premises environments, while building secure, resilient platforms and developing engineering teams.

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

Skills

• 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
• 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

Benefits

• A comprehensive benefits package (subject to eligibility requirements)
• Incentive and recognition programs (subject to eligibility requirements)
• Equity stock purchase (subject to eligibility requirements)
• 401k contribution (subject to eligibility requirements)
• Remote work from anywhere within the U.S.; for hires in the Minneapolis or Washington, D.C. area, a minimum of four days per week in the office is required

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