Lead AI Platform Engineer - Kubernetes & Hybrid AI Infra

EY; Grand Rapids (MI); On-site; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY seeks AI Systems Engineers to build and operate the foundational substrate powering EY's AI-native platform. You’ll own the cloud-native platform layers across hybrid environments, from bare-metal to Kubernetes, with a focus on reliability, portability, and security for regulated client contexts.

This full‑stack infrastructure leadership role covers infra management, GPU/ML scheduling, multi‑tenancy, and cross-environment replication to ensure safe, scalable model execution.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related technical field.
• 8+ years building or operating enterprise infrastructure, cloud platforms, or large-scale Kubernetes environments.
• Hands-on with Kubernetes distributions (RKE2, EKS/AKS/GKE, K3s) and full cluster lifecycle management.

Responsibilities

• Own the cluster & cloud-native platform: compute, Kubernetes and scheduling, cluster fabric/networking, multi-tenancy, and distributed compute.
• Own the infrastructure foundation: Ubuntu/OS, BMC/bare-metal, DPU architecture, and NVAIE (GPU/Network/DCGM).
• Stand up and manage EY Agentic AI environments across cloud, on-prem, edge, and air-gapped modes, maintaining a consistent stack contract.
• Deliver foundational platform capabilities such as Infrastructure Management, Kubernetes & Scheduling, and Cluster Fabric Management.
• Own cluster lifecycle, autoscaling, GPU pooling/virtualization, and multi-tenancy boundaries.

Skills

Kubernetes at scale

Cloud-native infra

Multi-tenancy at scale

IaC automation

Security/compliance

Technical leadership

Education

Bachelor’s or Master’s in CS

Tools

RKE2

EKS/AKS/GKE

K3s

Terraform/OpenTofu

Helm

ArgoCD

Crossplane

Velero

Cilium

Job description

EY seeks AI Systems Engineers to build and operate the foundational substrate powering EY's AI-native platform. You’ll own the cloud-native platform layers across hybrid environments, from bare-metal to Kubernetes, with a focus on reliability, portability, and security for regulated client contexts.

This full‑stack infrastructure leadership role covers infra management, GPU/ML scheduling, multi‑tenancy, and cross-environment replication to ensure safe, scalable model execution.