Senior AI Platform Infrastructure Engineer

EY; Tulsa (OK); 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 will own the infrastructure and cloud-native layers across hybrid and multi-environment runtimes, ensuring reliability, portability, and safety in regulated client contexts.

The role requires deep expertise in cloud-native platform engineering, Kubernetes, and low-level infrastructure, with hands-on work across cloud, on-prem, edge, and air-gapped deployments.

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 expertise 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.
• Ability to work effectively with security, architecture, product, and delivery teams.

Responsibilities

• Own the cluster & cloud-native platform: compute, Kubernetes and scheduling, cluster fabric, multi-tenancy, for Agentic AI workflows.
• Own the infrastructure foundation: Ubuntu/OS, bare-metal, DPU architecture, ensuring production readiness.
• Stand up EY Agentic AI environments across cloud/on-prem/edge/air-gapped targets with a single stack contract.
• Deliver platform capabilities such as Infrastructure Management, Kubernetes & Scheduling, and Cluster Fabric Management.
• Own cluster lifecycle, autoscaling, GPU pooling/virtualization, and multi-tenancy boundaries per tenant.
• Own secure execution and inference with Ray Serve, vLLM/NIM/Triton, and NVIDIA Dynamo.
• Own cognitive and routing: Envoy AI Gateway, semantic routing, model/prompt selection, streaming responses.
• Collaborate with DevOps on CI/CD/CV, GitOps, so environments are reproducible and drift-free.
• Own backup, disaster recovery, and cross-environment replication with Velero and related tools.
• Ensure the substrate is modular and swappable to minimize vendor lock-in.

Skills

Kubernetes at scale

Bare-metal systems

GPU infrastructure

Multi-tenant platform

GitOps

CI/CD tooling

Education

Bachelor’s or Master’s 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 will own the infrastructure and cloud-native layers across hybrid and multi-environment runtimes, ensuring reliability, portability, and safety in regulated client contexts.

The role requires deep expertise in cloud-native platform engineering, Kubernetes, and low-level infrastructure, with hands-on work across cloud, on-prem, edge, and air-gapped deployments.