Working at the intersection of data, AI, digital twins, and autonomy, the architect provides technical leadership for how data is organized, managed, and delivered across the enterprise, ensuring engineers and data scientists can efficiently develop, train, fine-tune, validate, and deploy next-generation AI models while accelerating innovation through scalable and reusable data products. Top Candidates Will Have: AI Factory and GPU Infrastructure: Typically 8+ years architecting distributed AI infrastructure on-premises and in the cloud: multi-node GPU clusters (DGX / HGX / GB200-class or cloud equivalents), NVLink / InfiniBand / Spectrum-X fabrics, high-throughput AI storage, and cluster sizing.