The AI Systems Engineer - AI Platforms - Manager role at EY focuses on building and operating the foundational infrastructure for EY's AI-native platform. This position requires a leader who is adept in both bare-metal and GPU systems, as well as production Kubernetes at scale. The role emphasizes reliability and portability in regulated environments, ensuring that the infrastructure supports various AI capabilities. The successful candidate will work within a diverse team to shape the future of AI at EY.

• Bachelor’s or Master’s degree in Computer Science or a related technical field.
• 8+ years of experience building or operating enterprise infrastructure, cloud platforms, or large-scale Kubernetes environments.
• Hands-on expertise with Kubernetes distributions and full cluster lifecycle management.
• Deep experience with bare-metal, cloud, hybrid, on-prem, and ideally air-gapped deployment models.
• Strong grounding in cluster networking, storage, and multi-tenancy isolation.

• Own the cluster and cloud-native platform, including compute, Kubernetes, and multi-tenancy.
• Manage the infrastructure foundation, ensuring it is provisioned, patched, and production-ready.
• Stand up and manage EY Agentic AI environments across various deployment modes.
• Deliver foundational platform capabilities for safe and consistent runtime and execution services.
• Own secure execution and inference for AI models with sandboxed execution.

• Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.