Lead Technical Architect, AI Infrastructure (Req#1036)

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Overview

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ePlus is seeking a Lead Technical Architect, AI Infrastructure with strong hands-on expertise in enterprise infrastructure design, deployment, and delivery. This role will lead the implementation of next-generation data center solutions that support AI, HPC, and cloud workloads — spanning compute, networking, and storage.

You will be responsible for architecting, building, and automating GPU-accelerated, virtualized, and containerized environments, ensuring performance, scalability, and operational excellence across hybrid infrastructures.

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Your Impact

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Key Responsibilities

• Design, deploy, and support NVIDIA DGX, HGX, or GPU-based systems within customer environments. 
• Install and configure GPU platforms, including drivers, firmware, and management tools 
• Configure high-speed networking (InfiniBand, Ethernet, VLANs) and validate performance 
• Provision compute nodes, configure OS images, and automate deployments 
• Implement and manage virtualization platforms (VMware ESXi, vCenter, vSAN, NSX) and hyperconverged infrastructure 
• Build and administer containerized platforms using Kubernetes (RKE, OpenShift, EKS, AKS, GKE) 
• Integrate storage systems and ensure high-performance data access for workloads 
• Implement infrastructure automation and assist with configuration management 
• Collaborate with cross-functional teams — networking, DevOps, storage, and application owners — to ensure smooth project delivery. 
• Troubleshoot and optimize system performance across compute, network, and storage layers. 
• Provide technical leadership and documentation for customer deployments and internal delivery teams 
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