Senior AI Platform Engineering Lead (Remote/Anywhere)

EY

Lansing (MI)

Remote

USD 144,000 - 329,000

Full time

13 days ago

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Benefits offered by this job

Medical and dental coverage
401(k) plan
Paid time off and flexible vacation

Job summary

EY is seeking a senior leader for its AI Platform Engineering group. This player-coach role combines strategic direction with hands-on design and troubleshooting of the most critical platform components.

You will drive multi‑environment deployment, reliability, and portability for EY’s AI workloads across cloud, on‑prem, edge, and air‑gapped targets. You will lead a team of AI Infrastructure and AI Systems Engineers, shaping the roadmap and ensuring secure, scalable, and performant

Qualifications

  • Bachelor’s or Master’s in CS or related field required.
  • 10+ years building or operating enterprise infrastructure and cloud platforms.
  • 3+ years leading or directing engineering teams while contributing hands-on.

Responsibilities

  • Lead and develop the AI Platform Infrastructure Engineering team, setting priorities and standards.
  • Hands-on design, build, and debugging of core platform components and GPU networking.
  • Own the infrastructure delivery roadmap and coordinate phased releases.
  • Operate EY Agentic AI environments across cloud, on-prem, edge, and air-gapped modes.
  • Ensure secure execution, inference, routing, and governance across environments.
  • Drive reliability, incident management, and SLOs with automation and IaC.

Skills

Cloud-native platform engineering
Kubernetes at scale
Leadership (player-coach)
AI inference serving
Reliability and SRE mindset
Strategic roadmap delivery

Education

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

Tools

Kubernetes (RKE2 / EKS / AKS / GKE)
ArgoCD / OpenTofu / Helm
Terraform / GitOps
NVAIE / DCGM / GPUs

Job description

EY is seeking a senior leader for its AI Platform Engineering group. This player-coach role combines strategic direction with hands-on design and troubleshooting of the most critical platform components.

You will drive multi‑environment deployment, reliability, and portability for EY’s AI workloads across cloud, on‑prem, edge, and air‑gapped targets. You will lead a team of AI Infrastructure and AI Systems Engineers, shaping the roadmap and ensuring secure, scalable, and performant

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