AI Data Center Architect

ApTask; Plano (TX); On-site; USD 150,000 - 180,000; Full time

Job summary

ApTask is seeking a hands-on AI Data Center Architect with 4+ years of experience designing AI-focused infrastructure. This is not a traditional enterprise data center role, and you will architect GPU clusters, AI factories, and GPU-as-a-Service platforms leveraging NVIDIA technologies.

You'll work with large-scale AI training and inference workloads, embracing NVIDIA Enterprise references and DGX/HGX/H200/Blackwell platforms while ensuring high performance, scalability, and low latency across

Qualifications

• 4+ years of hands-on experience designing AI-focused infrastructure.
• Experience architecting GPU clusters, AI factories and GPU-as-a-Service platforms.
• Strong working knowledge of NVIDIA architectures and enterprise ecosystems.

Skills

AI Factory & GPU Infrastructure

Architected enterprise AI Factories

GPUaaS platforms

Large-scale AI training/inference

LLM infrastructure

NVIDIA Expertise

NVIDIA Enterprise Reference Architectu

DGX/HGX/H200/Blackwell

Spectrum-X/InfiniBand/NVLink

GPU cluster sizing & scaling

AI Platform Architecture

Kubernetes for AI workloads

GPU scheduling & multi-tenancy

MLOps / AI Platform engineering

Distributed training infra

AI workload orchestration

Networking & Storage for AI

InfiniBand/RoCE fabrics

Tools

Kubernetes

Job description

Salary Range: $150K-$180K/Annum

Job Description

• Looking for a hands‑on AI Data Center Architect with 4+ years of experience designing AI‑focused infrastructure.
• This is not a traditional enterprise data center role.
• We need someone who has architected GPU clusters, AI factories, and GPU‑as‑a‑Service platforms leveraging modern NVIDIA AI infrastructure.

Must‑Have Skills

• AI Factory & GPU Infrastructure
• Architected enterprise or hyperscale AI Factories
• Designed GPU‑as‑a‑Service (GPUaaS) platforms
• Experience supporting large‑scale AI training and inference environments
• Strong understanding of LLM infrastructure and GenAI workloads
• NVIDIA Expertise (Mandatory)
• Deep knowledge of NVIDIA Enterprise Reference Architectures
• Experience with DGX, HGX, GB200, H200, Blackwell platforms
• NVIDIA AI Enterprise ecosystem
• Spectrum‑X, InfiniBand, NVLink, BlueField DPUs
• GPU cluster sizing, performance optimization, and scaling
• AI Platform Architecture
• Kubernetes for AI workloads
• GPU scheduling and multi‑tenancy
• MLOps / AI Platform engineering
• Distributed training infrastructure
• AI workload orchestration
• Networking & Storage
• AI networking (InfiniBand, RoCE, 400G/800G fabrics)
• High‑performance AI storage architectures
• Design for low‑latency, high‑throughput GPU clusters

Preferred Experience

• Designed environments supporting 100+ GPUs
• Experience with on‑prem AI Factories, Sovereign AI, or GPU Cloud offerings
• Worked with Azure/AWS/GCP AI infrastructure
• Customer‑facing architecture and solutioning experience

About ApTask

ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American‑owned and Veteran‑owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top‑tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.