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Trident Consulting

Trident Consulting

via LinkedIn

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AI Infrastructure Architect

Anywhere
Full-time
Posted 12/4/2025
Verified Source
Key Skills:
NVIDIA DGX
HGX
GPU-accelerated systems
VMware ESXi
vCenter
Kubernetes (RKE, OpenShift, AKS, EKS, GKE)
Nutanix HCI
Shell scripting
Ansible
Python
System administration
Enterprise storage and networking

Compensation

Salary Range

$140K - 170K a year

Responsibilities

Support and maintain GPU-accelerated AI infrastructure, VMware virtualization, Kubernetes clusters, and Nutanix platforms while automating tasks and collaborating with teams for scalable AI/ML workloads.

Requirements

Minimum 4 years in systems engineering or enterprise infrastructure with experience in GPU platforms, VMware, Kubernetes, Nutanix, scripting, and strong troubleshooting skills.

Full Description

Trident Consulting is seeking a "AI Infrastructure Architect" for one of our clients in "Los Angeles, CA - Remote" A global leader in business and technology services. Position: AI Infrastructure Architect Location: Los Angeles, CA – Remote Type: Full-time Salary: $140,000 - $170,000/Yr Summary: We are looking for an AI infrastructure engineer with strong hands-on experience in enterprise infrastructure, including GPU-accelerated platforms, VMware, and Kubernetes. This role will support and scale infrastructure for AI/ML workloads across hybrid environments that include NVIDIA DGX, HGX, and Nutanix. Key Responsibilities • Support deployment and maintenance of NVIDIA DGX, HGX, and GPU-accelerated systems. • Administer VMware environments, including ESXi, vCenter, and virtual networking/storage. • Deploy and support Kubernetes clusters across various environments and distros (e.g., RKE, OpenShift, AKS, EKS, GKE). • Perform day-to-day system administration across compute, storage, and networking layers. • Manage Nutanix HCI platforms (Prism, AHV), including upgrades, patching, and cluster management. • Automate infrastructure tasks using Shell scripts, Ansible, or similar tools. • Collaborate with DevOps, data science, and engineering teams to ensure scalable, resilient infrastructure for AI/ML workloads. • Monitor infrastructure health and performance; participate in troubleshooting and root cause analysis. Qualifications • Min 4 years of experience in systems engineering or enterprise infrastructure roles. • Experience with NVIDIA DGX, HGX, or other GPU-based compute platforms. • Strong working knowledge of VMware virtualization technologies. • Proficient with Kubernetes and experience managing multiple distributions (e.g., RKE, OpenShift, AKS, EKS). • Familiarity with Nutanix HCI (Prism, AHV) is a plus. • Understanding of enterprise storage, networking, and system monitoring tools. • Scripting and automation experience (e.g., Bash, Python, Ansible). • Strong communication, documentation, and troubleshooting skills. • Comfortable working independently in a remote environment. Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success. Learn more: tridentconsultinginc.com . Some of our recent awards include: • Trailblazer Women Award 2025 by Consulate General of India in San Francisco. • Ranked as the #1 Women Owned Business Enterprise in the large category by ITServe. • Received the TechServe Excellence award. • Consistently ranked in the Inc. 5000 list of fastest-growing private companies in America. • Recognized in the SF Business Times as one of the Largest Bay Area BIPOC/Minority-Owned Businesses in 2022.

This job posting was last updated on 12/5/2025

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