Vice President - AI Infrastructure Support Engineer

Location: New York

Vice President - AI Infrastructure Support Engineer Job#: 3056186

Job Description:

We’re seeking a future team member for the role of Vice President, AI Infrastructure Support Engineer to join our AI Infrastructure Support team. This is a hand on role for any professional looking to take ownership and lead. In this role, you'll make an impact in the following ways:
Deliver operational support and drive issue resolution for AI infrastructure, GPU platforms, and associated production services.

Support the deployment, orchestration, and monitoring of AI/ML workloads across distributed environments using Kubernetes and Docker.

Apply hands-on expertise with NVIDIA GPU infrastructure, including A100, H100, and B200 nodes, to support provisioning, utilization, performance tuning, and ongoing platform operations.

Build, maintain, and optimize automation scripts and tooling using Ansible, Python and Shell scripting to improve efficiency and reliability.

Manage incidents, service requests, and change activity through enterprise workflow and ticketing platforms such as JIRA and Service Now.

Partner with cross-functional teams across engineering, platform, and operations to implement Dev Ops best practices, including CI/CD using Git Lab, containerized deployment models, and secure access management through Azure AD.Create and maintain clear technical documentation, including runbooks, standard operating procedures, support guides, and infrastructure architecture artifacts.

Diagnose and resolve networking, storage, and system performance issues affecting AI infrastructure and high-performance compute workloads.

Participate in a rotating on-call support model, including occasional weekend coverage, to help maintain high availability and operational excellence.

To be successful in this role, we’re seeking the following:

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.

Strong experience supporting AI infrastructure, GPU platforms, or high-performance compute environments in enterprise or production settings.

Hands-on experience working with NVIDIA GPU nodes, including A100, H100, and B200 systems.

Solid understanding of Kubernetes and Docker for deploying, managing, and troubleshooting distributed workloads.

Proficiency in Ansible, Python and Shell scripting for automation, tooling, and operational support tasks.

Experience with Dev Ops practices and tools, including Git Lab CI/CD, infrastructure automation, and container-based delivery models.

Familiarity with enterprise ticketing and service management platforms such as JIRA and Service Now.

Good knowledge of networking, storage, Linux systems administration, and infrastructure troubleshooting in complex technical environments.

Understanding of identity and access management, including secure access controls such as Azure AD.Strong problem-solving skills, attention to detail, and the ability to manage multiple priorities in a fast-paced environment.

Effective written and verbal communication skills, with the ability to document processes and collaborate across technical and non-technical teams.

Willingness to participate in on-call rotations and provide occasional weekend support as needed.

Required Technical Environment Category Technologies AI Infrastructure AI/ML Platforms, High-Performance Computing (HPC)
GPU Technologies NVIDIA A100, H100, B200

Containers & Orchestration Kubernetes, Docker Automation & Scripting Ansible, Python, Shell Scripting Dev Ops Git Lab  CI/CD, Infrastructure Automation Service ManagementJIRA, Service Now Operating  Systems Linux Networking  & Storage Infrastructure Troubleshooting, Performance Optimization Identity & Access Management Azure AD Infrastructure…