Director, AI Platform Engineering & DevOps

Lead the strategy, architecture, and operations for enterprise AI, Kubernetes, GPU, and DevOps platforms. This role partners with various teams to design scalable and secure AI and cloud-native platforms, supporting enterprise adoption of Private AI, Generative AI, and GPU computing. You will accelerate developer and data science productivity by evaluating AI use cases and optimizing infrastructure.

• Define and drive architecture strategy for enterprise AI, Private AI, Generative AI, GPU, and Kubernetes
• Lead design and evolution of scalable GPU infrastructure for AI, ML, and HPC workloads
• Provide Kubernetes platform leadership, including workload orchestration and reliability
• Advance DevOps practices across platform services, including CI/CD and automation
• Partner with developers, data scientists, and business stakeholders to translate requirements into technical solutions
• Evaluate technology options and recommend scalable, cost-effective solutions