AI Data Center Architect (AI Factory / GPU-as-a-Service)
ApTask
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Plano, TX · Posted October 13, 2026
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Where Plano, TX ranks
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November 2026
- #3Best cities for pay after cost of living in the Southwest$141k · of 15
- #3Best cities for pay after cost of living in Texas$141k · of 8
- #5Best all-round cities for mid-career professionals in the Southwest60 / 100 · of 15
- #5Best all-round cities for AI careers in the Southwest70 / 100 · of 15
- #8Best cities for software and engineering jobs in the Southwest237 openings · of 33
- #8Best all-round cities for new graduates in the Southwest50 / 100 · of 15
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- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
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.