AI Platform & Infrastructure Leader

EY; Wichita (KS); On-site; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) plan

Paid time off

Job summary

EY seeks an AI Systems Engineer to build and operate the foundational substrate powering EY’s AI-native platform. You will own the cloud-native platform stack from bare-metal to Kubernetes, ensuring reliability, portability, and multi-tenant isolation for production workloads.

The role spans on-prem, cloud, edge, and air-gapped environments, with a focus on scalable infrastructure, security, and velocity for downstream AI capabilities across EY teams.

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 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.

Responsibilities

• Own the cluster & cloud-native platform: compute, Kubernetes and scheduling, and multi-tenancy boundaries.
• Own the infrastructure foundation: Ubuntu/OS, BMC/bare-metal, DPU architecture, and NVAIE integration.
• Stand up EY Agentic AI environments across cloud, on-prem, edge, and air-gapped targets with a consistent stack.
• Deliver platform capabilities such as Infrastructure Management, Kubernetes & Scheduling, Cluster Fabric Management.
• Own cluster lifecycle, autoscaling, GPU pooling/virtualization, and tenancy isolation.
• Own secure execution and inference with Ray Serve, vLLM/NIM/Triton, and sandboxed execution.
• Own cognitive and routing: Envoy AI Gateway, semantic routing, and model/prompt selection.
• Collaborate on CI/CD/CV, GitOps, and IaC to ensure reproducible environments.
• Own backup, disaster recovery, and cross-environment replication for high availability.
• Ensure the substrate is modular and swappable to minimize vendor lock-in.

Skills

Advanced cloud-native platforms

Kubernetes at scale

Bare-metal and GPU

Cluster networking & multi-tenancy

Automation & IaC

Security/compliance in production

Effective communication

Product ownership mindset

Education

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

Tools

Terraform/OpenTofu

Helm

ArgoCD

Crossplane

Job description

EY seeks an AI Systems Engineer to build and operate the foundational substrate powering EY’s AI-native platform. You will own the cloud-native platform stack from bare-metal to Kubernetes, ensuring reliability, portability, and multi-tenant isolation for production workloads.

The role spans on-prem, cloud, edge, and air-gapped environments, with a focus on scalable infrastructure, security, and velocity for downstream AI capabilities across EY teams.