AI Systems Platform Lead

EY; Los Angeles (CA); On-site; USD 151,000 - 262,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking an AI Systems Engineer to architect and run the foundational substrate for EY’s AI-native platform. You will own the cloud-native platform, bare-metal, GPU systems, and production Kubernetes at scale, ensuring reliability and portability across cloud, on-prem, edge, and air-gapped environments.

You’ll lead infrastructure-as-code, GitOps, and multi-tenant Kubernetes across diverse environments, enabling downstream AI workloads while meeting strict regulatory 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 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.
• 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 AI Factory, edge, and air-gapped deployment modes.
• 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 sandboxing.
• Own cognitive and routing: Envoy AI Gateway, semantic routing, and model/prompt selection.
• Collaborate with DevOps on CI/CD/CV, IaC / GitOps to keep environments reproducible.

Skills

Kubernetes

Networking

Multi-tenancy

Bare-metal

GPU

DPU

Infrastructure as code

GitOps

Education

Bachelor’s or Master’s in CS or related field

Tools

Terraform/OpenTofu

Helm

ArgoCD

Crossplane

Kubernetes distributions (RKE2, EKS/AKS/GKE, K3s)

OpenTofu

Job description

EY is seeking an AI Systems Engineer to architect and run the foundational substrate for EY’s AI-native platform. You will own the cloud-native platform, bare-metal, GPU systems, and production Kubernetes at scale, ensuring reliability and portability across cloud, on-prem, edge, and air-gapped environments.

You’ll lead infrastructure-as-code, GitOps, and multi-tenant Kubernetes across diverse environments, enabling downstream AI workloads while meeting strict regulatory constraints.