Senior AI Platform Lead — Hands-on & Strategy

EY; Secaucus (NJ); Remote; USD 144,000 - 359,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) plan

Paid time off

Job summary

EY is 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. You will set the technical direction for a team of AI Infrastructure and AI Systems Engineers, and stand up EY AI environments across cloud, on‑prem, edge, client‑managed, and air‑gapped targets.

This is a player‑coach role. You will direct the team’s work and own the delivery roadmap, while remaining a hands‑on individual contributor

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related 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.
• Experience owning a platform or infrastructure roadmap end-to-end.
• Hands-on experience with Kubernetes distributions and full cluster lifecycle management.
• Proven track record delivering production infrastructure under compliance and security constraints.

Responsibilities

• Lead and develop the AI Platform Infrastructure Engineering team: set priorities, allocate work, mentor engineers, and establish standards.
• Build hands-on as a senior individual contributor: design, implement, and debug core platform components.
• Own the infrastructure delivery roadmap: phase sequencing, entry/exit gates, and progress reporting to leadership.
• Own the infrastructure foundation and cloud-native platform spanning Ubuntu, bare-metal, GPUs, Kubernetes, and scheduling.
• Stand up and operate EY Agentic AI environments across cloud, on-prem, edge, client-managed, and air-gapped modes.
• Own secure execution, inference, and routing using Ray Serve, vLLM/NIM/Triton, NVIDIA Dynamo, and Envoy AI Gateway.
• Own operational excellence, resilience, and platform delivery: define SLOs, on-call, DR, and CI/CD collaboration.
• Own GPU capacity, platform economics, and vendor selection; evaluate options and manage budgets.

Skills

AI platform engineering

Leadership

Hands-on contributor

Kubernetes

Cloud platforms

Reliability engineering

Budget & vendor management

Executive communication

Education

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

Tools

RKE2

EKS/AKS/GKE

ArgoCD

Terraform/OpenTofu

Job description

EY is 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. You will set the technical direction for a team of AI Infrastructure and AI Systems Engineers, and stand up EY AI environments across cloud, on‑prem, edge, client‑managed, and air‑gapped targets.

This is a player‑coach role. You will direct the team’s work and own the delivery roadmap, while remaining a hands‑on individual contributor