AI Systems Engineer - AI Platforms - Manager

Atlanta, GA, US, 30309+80 more… · — ago

Not specified8+ YOE

Quick summary

AI parsed

Experience: 8+ years building or operating enterprise infrastructure, cloud platforms, or large-scale Kubernetes environments with hands-on systems depth. Key skills: Kubernetes (RKE2, EKS/AKS/GKE, K3s), bare-metal infrastructure, GPU scheduling (NVAIE/DCGM), cluster networking (Cilium), infrastructure-as-code (Terraform/OpenTofu, Helm, ArgoCD), multi-tenancy isolation, disaster recovery, production compliance/regulatory experience.
Salary: $125,500 to $230,200 (US); $150,700 to $261,600 (NYC Metro, Washington State, California excluding Sacramento)
Arrangement: hybrid

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 physical and virtual bedrock is provisioned, patched, and production-ready.
Stand up and manage EY Agentic AI environments across cloud (EKS/AKS/GKE), on-prem AI Factory (RKE2/NVAIE), edge (K3s), and air-gapped deployment modes, maintaining one consistent stack contract across all targets.
Own cluster lifecycle, autoscaling, GPU pooling/virtualization, and multi-tenancy boundaries (vCluster/Crossplane/Karpenter), providing isolated, elastic capacity per tenant and engagement.

Benefits

Medical and dental coverage · Pension and 401(k) plans · Flexible vacation policy · EY Paid Holidays · Winter/Summer breaks · Personal/Family Care leave · Other leaves of absence for physical, financial, and emotional well-being

Full description

Location: Anywhere in Country At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity We are seeking AI Systems Engineers to build and operate the foundational substrate that powers EY’s AI-native platform. This role owns the infrastructure and cloud-native platform layers of the Hybrid AI Multi-Environment Runtime (HAI), from bare-metal and GPU infrastructure through Kubernetes, cluster fa…