Senior AI Systems Platform Engineer & Infra Lead

EY; Chicago (IL); Hybrid; USD 126,000 - 230,000; Full time

Job summary

EY seeks an AI Systems Engineer to build and operate the foundational platform powering EY’s AI-native capabilities. You’ll own the cloud-native stack, from bare-metal to Kubernetes, across cloud, on-prem, edge, and air-gapped targets, ensuring reliability and portability for regulated client contexts.

As a senior infrastructure leader, you’ll drive platform capabilities, security, and GitOps-driven delivery, collaborating with DevOps and security teams to maintain a scalable, compliant

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 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/MIG).
• 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, as the substrate for Agentic AI workflows and tooling.
• Own the infrastructure foundation: Ubuntu/OS, BMC/bare-metal, DPU architecture, and NVAIE (GPU/Network/DCGM), ensuring the bedrock is provisioned, patched, and production-ready.
• Stand up and manage EY Agentic AI environments across cloud, on-prem, edge, and air-gapped deployment modes, maintaining one consistent stack contract across all targets.
• Deliver foundational platform capabilities such as Infrastructure Management, Kubernetes & Scheduling, and Cluster Fabric Management, so downstream runtime, data, and execution services can run safely and consistently.
• Own cluster lifecycle, autoscaling, GPU pooling/virtualization, and multi-tenancy boundaries, providing isolated, elastic capacity per tenant and engagement.
• Own secure execution and inference: Ray Serve, vLLM/NIM/Triton, and NVIDIA Dynamo, with sandboxed execution for isolated, safe model execution.
• Own cognitive and routing: Envoy AI Gateway, semantic routing, model/prompt selection, and streaming response handling.
• Collaborate with DevOps Engineers on deployment and delivery of the platform itself: CI/CD/CV (ArgoCD), infrastructure-as-code / GitOps, so environments are reproducible and drift-free.
• Own backup, disaster recovery, and cross-environment replication for high availability, along with patching and platform supply-chain hygiene.
• Ensure the substrate is modular and swappable, so components can be replaced without rewriting consumers, minimizing vendor lock-in.

Skills

Kubernetes

Multi-tenancy at scale

Bare-metal infrastructure

GPU infrastructure

CI/CD/CV (ArgoCD)

GitOps tooling

Infrastructure as code

Cluster lifecycle management

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

Job description

EY seeks an AI Systems Engineer to build and operate the foundational platform powering EY’s AI-native capabilities. You’ll own the cloud-native stack, from bare-metal to Kubernetes, across cloud, on-prem, edge, and air-gapped targets, ensuring reliability and portability for regulated client contexts.

As a senior infrastructure leader, you’ll drive platform capabilities, security, and GitOps-driven delivery, collaborating with DevOps and security teams to maintain a scalable, compliant