AI Platform Engineering Lead — Cloud-Native, Multi-Tenant

EY; Salt Lake City (UT); Remote; USD 144,000 - 374,000; Full time

Job summary

EY is seeking a senior leader for the AI Platform Engineering group to shape and run EY’s foundational AI runtime platform across cloud, on-prem, edge, and air-gapped environments.

The role blends executive-level roadmap ownership with hands-on design, build, and troubleshooting of the most critical platform components, ensuring reliability, portability, and security in regulated client contexts.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related technical field.
• 10+ years building or operating enterprise infrastructure, cloud platforms, or large-scale Kubernetes environments.
• 3+ years leading or directing engineering teams, while remaining hands-on.
• Track record owning a platform or infrastructure roadmap end-to-end, from requirements through delivery.
• Hands-on expertise with Kubernetes distributions and production-scale lifecycle management.
• Experience with on-prem, cloud, hybrid, and air-gapped deployment models.
• Strong grounding in cluster networking, storage, and multi-tenancy isolation.
• Hands-on experience with GPU infrastructure and AI inference serving.
• Experience with infrastructure-as-code and GitOps tooling (Terraform/OpenTofu, Helm, ArgoCD, Crossplane).
• Disaster recovery, backup, and cross-environment replication; incident leadership.
• Production infrastructure under regulatory constraints; budget management and vendor relationships.

Responsibilities

• Lead and develop the AI Platform Infrastructure Engineering team; set priorities, hire, mentor, and establish standards.
• Design, implement, and debug the hardest platform components, including cluster bring-up and multi-tenancy.
• Define and defend phased delivery gates and report progress to senior leadership.
• Stand up and operate EY Agentic AI environments across cloud, on-prem, edge, and air-gapped targets.
• Own secure execution, inference, and routing with modern AI inference serving tech.
• Own operational excellence, incident management, DR, and cross-environment replication; drive CI/CD and GitOps practices.
• Forecast capacity, manage budgets, vendor relationships, and drive cost attribution.

Skills

Kubernetes

Platform engineering

Leadership

Incident management

SLO ownership

Vendor management

GitOps

Automation

Security/compliance

Distributed systems

Education

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

Tools

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

Terraform/OpenTofu

Helm

ArgoCD

Crossplane

Velero

Cilium

Job description

EY is seeking a senior leader for the AI Platform Engineering group to shape and run EY’s foundational AI runtime platform across cloud, on-prem, edge, and air-gapped environments.

The role blends executive-level roadmap ownership with hands-on design, build, and troubleshooting of the most critical platform components, ensuring reliability, portability, and security in regulated client contexts.