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AI Platform Engineering Lead (Senior Manager) at EY · Rogers, AR +2 more · Joined
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AI Platform Engineering Lead (Senior Manager)

EY · Rogers, AR +2 more · Just now · 0 applicants
NewOn-siteFull-timeManager
Pay
$173k–$359kListed
Workplace
On-site
Job type
Full-time
Level
Manager
Team: AI Platform Engineering group · Source: jobright · Posted by joined-scrapper

About the role

EY is looking for a senior engineering leader to head its AI Platform Engineering group, building and operating secure, reliable, and portable AI infrastructure across cloud, on-premises, edge, client-managed, and air-gapped environments. The role combines hands-on technical depth with directing and developing a team of senior engineers.

What you’ll do

  • Lead and develop EY's AI Platform Engineering group
  • Design, build, and operate reliable, secure, portable AI platform environments
  • Deliver across cloud, on-premises, edge, client-managed, and air-gapped deployments
  • Act as a player-coach, contributing hands-on while directing and unblocking engineers
  • Own the platform infrastructure roadmap, architecture, and delivery trade-offs
  • Drive reliability, automation, incident leadership, and SLO ownership

What you’ll need

  • 10+ years building or operating enterprise infrastructure, cloud platforms, or large-scale Kubernetes
  • 3+ years leading engineering teams while remaining an active hands-on contributor
  • Hands-on expertise with Kubernetes distributions and full cluster lifecycle management
  • Deep experience with bare-metal, cloud, hybrid, on-prem, and air-gapped deployment models
  • Strong grounding in cluster networking, storage, multi-tenancy isolation, and GPU infrastructure
  • Experience with infrastructure-as-code/GitOps tooling and AI inference serving technologies

Original job description

EY is seeking a senior leader to lead its AI Platform Engineering group, which builds and operates the infrastructure and cloud-native platform layers of EY’s AI runtime. The role directs and develops engineers while personally designing, building, and operating reliable, secure, and portable AI platform environments across cloud, on-premises, edge,…

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