AI Platform Lead — Cloud-Native Infra & Kubernetes

EY; Toledo (OH); On-site; USD 126,000 - 262,000; Full time

Benefits offered by this job

Hybrid work model

Total rewards package

Competitive compensation

Job summary

EY seeks an AI Systems Engineer to build and operate the foundational substrate powering EY's AI-native platform. You will own the infrastructure layer from bare-metal to production Kubernetes across cloud, on-prem, edge, and air-gapped targets, enabling reliable, portable, and scalable AI workflows.

This role requires deep experience with cloud-native platforms, multi-tenancy, and GPU-enabled scheduling, along with a strong focus on security, compliance, and automation through GitOps and IaC

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related technical field.
• 8+ years building or operating enterprise infrastructure or large-scale Kubernetes environments.
• Hands-on experience with Kubernetes distributions and full cluster lifecycle management.
• Experience across cloud, on-prem, edge, and air-gapped deployment models.
• Strong grounding in cluster networking and multi-tenancy isolation.
• Experience with GPU infrastructure and scheduling (NVAIE/DCGM).
• Experience with IaC and GitOps tooling (Terraform/OpenTofu, Helm, ArgoCD, Crossplane).
• Proven track record operating production infrastructure under compliance or regulatory constraints.

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) readiness.
• Stand up and manage EY Agentic AI environments across cloud, on-prem, edge, and air-gapped deployment modes with 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.
• Own secure execution and inference: Ray Serve, vLLM/NIM/Triton, and NVIDIA Dynamo with sandboxed execution for isolation.
• Own cognitive and routing: Envoy AI Gateway, semantic routing, model/prompt selection, and streaming response handling.
• Collaborate with DevOps on CI/CD/CV, IaC/GitOps to ensure reproducible environments.
• Own backup, DR, and cross-environment replication for high availability.
• Ensure the substrate is modular and swappable, minimizing vendor lock-in while preserving the stack contract.

Skills

Kubernetes

Cloud-native platform engineering

Bare-metal & GPU systems

Multi-tenancy at scale

DevOps / GitOps

Education

Bachelor’s or Master’s degree in Computer Science or related technical field

Tools

RKE2

EKS/AKS/GKE

K3s

Terraform/OpenTofu

Helm

ArgoCD

Crossplane

OpenTofu

Job description

EY seeks an AI Systems Engineer to build and operate the foundational substrate powering EY's AI-native platform. You will own the infrastructure layer from bare-metal to production Kubernetes across cloud, on-prem, edge, and air-gapped targets, enabling reliable, portable, and scalable AI workflows.

This role requires deep experience with cloud-native platforms, multi-tenancy, and GPU-enabled scheduling, along with a strong focus on security, compliance, and automation through GitOps and IaC