Req 26-03405 · Onsite · Full-time
AI Data Center Architect (AI Factory / GPU-as-a-Service)
Onsite full-time role in Plano, TX, paying $150,000–$180,000/yr. An ApTask vertical recruiter manages your submission on this live client requisition.
- Requisition
- 26-03405
- Location
- Plano, TX
- Type
- Onsite · Full-time
- Compensation
- $150,000–$180,000/yr
- Posted
- Today (as of Oct 13, 2026, 5:36 PM EDT)
Skills: AI
Your résumé routes to the vertical recruiter who owns this requisition. Identity-verified profile, never resold or syndicated.
About the role
Title: AI Data Center Architect
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 operations at ApTask
Operations roles at ApTask cover program management, PMO, business analysis, transformation, and change-management positions across enterprise clients. We place operators who translate strategy into delivery — PMPs, Scrum Masters, agile coaches, Six Sigma black belts, and change-management practitioners certified in Prosci or the client's preferred framework. Candidates are validated against the specific enterprise tooling the client runs (ServiceNow, Jira Portfolio, Clarity, Planview) and their prior track record in comparable-scale programs, not generic delivery experience.
What happens after you apply.
1. Verified profile
Submit your résumé and complete the ApTask identity + skills verification. We check right-to-work, background, and technical calibration once — never resell or re-verify — so future roles surface faster.
2. Recruiter calibration call
Within one business day, the recruiter who owns this requisition reviews your profile against the client's specific stack, arrangement, and start-date requirements. You'll hear back either way — no ghosting.
3. Client interview
If your profile is a fit, we present you to the hiring team. Most clients run 2-3 interview stages: hiring-manager screen, technical panel, and final. We prep you with the exact scorecard criteria before each round.
4. Offer + onboarding
On acceptance, you're hired directly by the client and join their payroll and benefits. Your recruiter stays your point of contact through onboarding.
Ready to apply? Two minutes, one profile.
Your résumé routes to the recruiter who owns this requisition. Identity-verified once, matched against every future ApTask role that fits your stack. Not sure a message really came from ApTask? Verify a recruiter first.
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