> Markdown version of [/jobs/ext/3806728-ai-data-center-architect](https://www.wearedevelopers.com/jobs/ext/3806728-ai-data-center-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Data Center Architect - **Company:** ApTask - **Location:** Plano, TX, United States - **Experience:** Experienced - **Salary:** $150,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Clusters, Data Centers, Distributed Computing Environment, InfiniBand, Performance Tuning, AI Infrastructure, Graphics Processing Unit (GPU), Large Language Models, AI Platforms, Kubernetes, Storage Technologies, Low Latency, Machine Learning Operations, Hardware Infrastructure - **Published:** October 17, 2026 - **Apply:** https://www2.jobdiva.com/portal/?a=4ujdnwqsdebu7m13em5f0pt5dw80o500d7dv9cbq5ebzngb7yk0n43mjtefnbx0d&compid=0/jobs/29461385#/jobs/29461385 ## About the Role * 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 ## 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.