Senior AI Platform & Infrastructure Lead

EY; Alpharetta (GA); On-site; USD 144,000 - 374,000; Full time

Benefits offered by this job

Medical coverage

401(k) plan

Paid time off

Job summary

EY is seeking a senior leader for its AI Platform Engineering group to direct the infrastructure and cloud-native platform layers of EY’s AI runtime. This role combines hands-on technical work with strategic leadership across cloud, on-prem, edge, and air-gapped environments, delivering a modular, portable substrate for AI workflows.

You will own the delivery roadmap, drive reliability and security, and lead a team of AI Infrastructure and AI Systems Engineers, while maintaining executive-level

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.
• Proven track record owning a platform or infrastructure roadmap end-to-end.

Responsibilities

• Lead and develop the AI Platform Infrastructure Engineering team.
• Build hands-on as a senior individual contributor on core components.
• Own the infrastructure delivery roadmap and phase-based releases.
• Stand up and operate EY Agentic AI environments across cloud and on-prem.

Skills

Leadership

Cloud-native

Platform engineering

Incident management

Executive communication

Reliability engineering

Education

Bachelor’s or Master’s in Computer Science

Tools

Kubernetes

RKE2

EKS/AKS/GKE

Helm

ArgoCD

Terraform/OpenTofu

NVIDIA DCGM

Job description

EY is seeking a senior leader for its AI Platform Engineering group to direct the infrastructure and cloud-native platform layers of EY’s AI runtime. This role combines hands-on technical work with strategic leadership across cloud, on-prem, edge, and air-gapped environments, delivering a modular, portable substrate for AI workflows.

You will own the delivery roadmap, drive reliability and security, and lead a team of AI Infrastructure and AI Systems Engineers, while maintaining executive-level