Vice President AI Infrastructure Support Engineer

Job Description: Were 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 ServiceNow. * Partner with cross-functional teams across engineering, platform, and operations to implement DevOps best practices, including CI/CD using GitLab, 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, were seeking the following: * Bachelors 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 DevOps practices and tools, including GitLab CI/CD, infrastructure automation, and container-based delivery models. * Familiarity with enterprise ticketing and service management platforms such as JIRA and ServiceNow. * 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 EnvironmentCategoryTechnologiesAI InfrastructureAI/ML Platforms, High-Performance Computing (HPC)GPU TechnologiesNVIDIA A100, H100, B200Containers & OrchestrationKubernetes, DockerAutomation & ScriptingAnsible, Python, Shell ScriptingDevOpsGitLab CI/CD, Infrastructure AutomationService ManagementJIRA, ServiceNowOperating SystemsLinuxNetworking & StorageInfrastructure Troubleshooting, Performance OptimizationIdentity & Access ManagementAzure ADInfrastructure OperationsMonitoring, Incident Management, Change ManagementProfessional SkillsDocumentation, Cross-Functional Collaboration, Problem Solving, Production SupportEducationBachelor's Degree or Equivalent Experience