Principal AI Solutions Architect

Role: Solutions Architect leading the design, sizing, and deployment of NVIDIA AI Factory infrastructure for enterprise and hyperscale clients. Responsibilities: conduct discovery workshops, develop end-to-end AI solution architectures integrating GPU compute, networking, storage, and AI software; specify colocation requirements; design GPU clusters for large language models and inference; plan high-performance networking and storage architectures; deploy and configure NVIDIA AI software stack, Kubernetes, and workload schedulers; engage in customer interactions, deliver proposals, lead proof-of-concepts, and support post-deployment optimization. Requirements: Bachelor's in Computer Science or related field; 8+ years in solutions architecture, systems engineering, or pre-sales with at least 4 years specifically in GPU/HPC environments; hands-on experience with NVIDIA GPU systems (DGX/HGX), high-speed networking (InfiniBand/Ethernet), parallel storage systems, and AI software stack deployment; deep understanding of distributed deep learning paradigms; strong communication and presentation skills. Preferred: NVIDIA certifications; experience with NVIDIA multi-cluster platforms, regulated industry AI infrastructure, and cloud integrations; knowledge of MLOps and AI platform engineering. HighValue: enterprise AI infrastructure, GPU clusters for training/eference, high-performance networking, storage solutions, AI software orchestration, customer-facing solution delivery, cross-functional collaboration. WorkSetup: role likely hybrid, detailed travel not specified.