Senior AI Platform Infrastructure Engineer

EY; Kansas City (MO); 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)

Job summary

EY is seeking AI Systems Engineers to build and operate the foundational substrate powering EY’s AI-native platform. You’ll own the cloud-native stack from bare-metal through Kubernetes, ensuring portability and reliability across cloud, on‑prem, edge, and air‑gapped targets.

Ideal candidates have deep infra expertise with Kubernetes, GPUs, networking, and multi-tenancy, plus experience delivering production-grade platforms under compliance constraints.

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.
• Deep experience with bare-metal, cloud, hybrid, on-prem, and air-gapped deployment models.
• Strong grounding in cluster networking (Cilium/CNI), storage, and multi-tenancy isolation.
• Experience with GPU infrastructure and scheduling (NVAIE/DCGM).
• 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, scheduling, and multi-tenancy.
• Manage infrastructure foundation: Ubuntu/OS, bare-metal, DPU, and NVAIE.
• Stand up EY Agentic AI environments across cloud, on-prem, edge, and air-gapped targets.
• Deliver foundational platform capabilities: Infrastructure Management, Kubernetes & Scheduling, Cluster Fabric.
• Own cluster lifecycle, autoscaling, GPU pooling/virtualization, and tenancy boundaries.
• Own secure execution and inference: Ray Serve, vLLM/NIM/Triton, sandboxed execution.
• Own cognitive and routing: Envoy AI Gateway, semantic routing, model/prompt selection.
• Collaborate with DevOps on CI/CD/CV, IaC/GitOps, ensuring reproducible environments.

Skills

Kubernetes

Multi-tenancy

Bare-metal

GPU

DPU

Cloud platforms

NVAIE

Ray Serve

Envoy AI Gateway

ArgoCD

Terraform/OpenTofu

Helm

Crossplane

Karpenter

Cluster lifecycle

Education

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

Tools

RKE2

EKS/AKS/GKE

K3s

Velero

Job description

EY is seeking AI Systems Engineers to build and operate the foundational substrate powering EY’s AI-native platform. You’ll own the cloud-native stack from bare-metal through Kubernetes, ensuring portability and reliability across cloud, on‑prem, edge, and air‑gapped targets.

Ideal candidates have deep infra expertise with Kubernetes, GPUs, networking, and multi-tenancy, plus experience delivering production-grade platforms under compliance constraints.