AI Platform Engineering Lead (Senior Manager)

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

Not specified10+ YOE

Quick summary

AI parsed

Experience: 10+ years building or operating enterprise infrastructure, cloud platforms, or large-scale Kubernetes environments; 3+ years leading engineering teams. Deep expertise in Kubernetes, bare-metal, GPU infrastructure, cloud-native platforms, AI inference serving (vLLM, NIM, Triton, Ray Serve), cluster networking, infrastructure-as-code (Terraform, Helm, ArgoCD), disaster recovery, and production incident leadership.
Arrangement: remote

Responsibilities

Lead and develop the AI Platform Infrastructure Engineering team: direct work, set priorities, allocate work, hire, mentor, and set engineering standards.
Build hands-on as a senior individual contributor: design, implement, and debug critical platform components including cluster bring-up, GPU enablement, multi-tenancy, and inference routing.
Own the infrastructure delivery roadmap: sequence builds into phases, define and defend gates, and report progress and trade-offs to senior leadership.
Stand up and operate EY Agentic AI environments across cloud, on-prem, edge, client-managed, and air-gapped deployment modes while maintaining consistent stack contracts.

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 a senior leader for our AI Platform Engineering group, the team that builds and operates the foundational substrate powering EY’s AI-native platform. This role is accountable for the infrastructure and cloud-native platform layers of our AI runtime, from bare-metal and GPU infrastructure thr…