Infrastructure Architect - AI & Data Center

About The Opportunity

Our client, a leader in cloud infrastructure and AI technology, is looking for a skilled Infrastructure Architect - AI & Data Center to join their team for a 6 months engagement. This project involves leading the design, orchestration, and lifecycle management of their next-generation GPU Farm and AI Factory environments. This is a high-impact role that requires a self-motivated professional who can bridge the gap between R&D engineering requirements and the physical realities of global data center operations.

Key Responsibilities & Deliverables

• Lead the architectural design and refinement of the GPU-as-a-Service (GPUaaS) platform for internal R&D, QA, and Sales teams.
• Design and implement a centralized Data Center Asset Inventory system, ensuring real-time visibility into all hardware assets.
• Develop a comprehensive Hardware Lifecycle Management strategy, covering procurement forecasting, operationalization, and decommissioning of legacy systems (G3/G4/G5).
• Provide architecture and designs during the project intake process, reviewing and guiding teams on the right architecture for all demands.
• Enforce strict Security Standards for Data Center HW Provisioning, ensuring all infrastructure meets SOC 2 and ISO 27001 compliance objectives.

Required Skills & Experience

• 5+ years of experience in Data Center projects in an enterprise environment.
• Deep expertise in Hardware and Infrastructure Mastery: Deep knowledge of Cisco HW, NVIDIA GPU architectures (H100, B200, RTX 6000 Pro), and high-speed interconnects (RoCE v2, InfiniBand).
• Extensive experience with Data Center infrastructure.
• Proficiency with asset management and automation tools (Netbox, ServiceNow, Terraform, or OpenTofu).
• Experience in Data Center lifecycle management, HW capacity planning, decommissioning, and building complex financial showback models.
• Proven expertise in Kubernetes (NKP preferred) and NVIDIA AI Enterprise stacks (GPU Operator, DCGM, Triton, vLLM).
• Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.
• Strong communication skills to provide clear and concise status updates to the project team.
• W2 only (No C2C or 1099 contractors).