AI Infrastructure Platform Lead

EY; Buffalo (NY); Hybrid; USD 151,000 - 262,000; 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 on-prem, cloud, and edge infrastructure, including Kubernetes, multi-tenant fabric, and GPU deployment, across diverse environments.

The role emphasizes reliability, portability, and compliance in regulated client contexts, with opportunities to influence platform design and accelerate downstream AI workloads across EY teams.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• 8+ years building or operating enterprise infrastructure, cloud platforms, or large-scale Kubernetes environments.
• Hands-on experience with Kubernetes distributions (RKE2, EKS/AKS/GKE, K3s) 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 (Cilium/service mesh/CNI), storage, and multi-tenancy isolation.
• Experience with GPU infrastructure and scheduling (NVAIE/DCGM, GPU operators, virtualization).
• Experience with infrastructure-as-code and GitOps tooling (Terraform/OpenTofu, Helm, ArgoCD, Crossplane).
• Proven track record operating production infrastructure under compliance, security, 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).
• Stand up and manage EY Agentic AI environments across cloud, on-prem, edge, and air-gapped targets.
• 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 for isolated capacity.
• Own secure execution and inference with GPU-accelerated runtimes and sandboxed execution.
• Own cognitive and routing: Envoy AI Gateway, semantic routing, model/prompt selection, streaming responses.
• Collaborate with DevOps on CI/CD/CV, GitOps, and IaC to ensure reproducible environments.
• Own backup, disaster recovery, and cross-environment replication with patching and supply-chain hygiene.
• Ensure the substrate is modular and swappable to minimize vendor lock-in.

Skills

Kubernetes

Bare-metal

GPU infrastructure

Multi-tenancy

Cloud platforms

GitOps

Infrastructure-as-code

Education

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

Tools

RKE2

EKS

AKS

GKE

K3s

Terraform

OpenTofu

Helm

ArgoCD

Crossplane

Job description

EY seeks AI Systems Engineers to build and operate the foundational substrate powering EY’s AI-native platform. You’ll own on-prem, cloud, and edge infrastructure, including Kubernetes, multi-tenant fabric, and GPU deployment, across diverse environments.

The role emphasizes reliability, portability, and compliance in regulated client contexts, with opportunities to influence platform design and accelerate downstream AI workloads across EY teams.