AI Platform Infrastructure Lead — Senior Manager

EY; St. Louis (MO); On-site; USD 144,000 - 374,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) retirement plan

Flexible vacation policy

Job summary

EY is seeking a senior leader for the AI Platform Engineering group to direct infrastructure and cloud-native platform layers powering EY’s AI runtime. You will guide a team of AI Infrastructure and AI Systems Engineers, own the delivery roadmap, and remain a hands-on contributor who designs, builds, and troubleshoots the most critical parts of the platform.

You will drive secure execution, multi-tenant scaling, and portability across cloud, on-prem, edge, and air-gapped targets while aligning

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related technical field.
• 10+ years building or operating enterprise infrastructure, cloud platforms, or large-scale Kubernetes environments.
• 3+ years leading or directing engineering teams while remaining an active hands-on contributor.
• Experience owning a platform or infrastructure roadmap end-to-end, including requirements, estimation, phased delivery.

Responsibilities

• Lead and develop the AI Platform Infrastructure Engineering team: set priorities, hire, mentor, and establish standards.
• Build hands-on as a senior individual contributor: design and debug the hardest platform components.
• Own the infrastructure delivery roadmap and report progress to senior leadership.
• Stand up and operate EY Agentic AI environments across cloud, on-prem, edge, client-managed, and air-gapped modes.

Skills

Cloud-native engineering

Kubernetes at scale

AI inference serving

Player-coach leadership

Education

Bachelor’s or Master’s in CS or related field

Tools

Kubernetes: RKE2/EKS/AKS/GKE/K3s

ArgoCD

Terraform/OpenTofu

Velero

Job description

EY is seeking a senior leader for the AI Platform Engineering group to direct infrastructure and cloud-native platform layers powering EY’s AI runtime. You will guide a team of AI Infrastructure and AI Systems Engineers, own the delivery roadmap, and remain a hands-on contributor who designs, builds, and troubleshoots the most critical parts of the platform.

You will drive secure execution, multi-tenant scaling, and portability across cloud, on-prem, edge, and air-gapped targets while aligning