Job Overview
We are seeking an experienced AI Solution Architect
to design and lead end-to-end enterprise AI Factory and GPU infrastructure solutions spanning compute, high-performance networking, storage, Kubernetes, cloud, and AI/ML platforms. The role requires robust expertise in NVIDIA GPU technologies, AI workloads, scalable infrastructure architecture, security, observability, performance engineering, and capacity planning.
Key Responsibilities
- Own end-to-end architecture for AI Factory and enterprise AI solutions from requirements through production readiness.
- Assess AI/ML workload requirements for training, fine-tuning, inference, batch processing, and high-performance computing.
- Design GPU compute architectures including NVIDIA HGX/DGX/OEM platforms, multi-GPU systems, NVLink/NVSwitch, and GPU resource allocation.
- Design high-performance AI networking using 100/200/400/800G Ethernet, EVPN/VXLAN, and leaf-spine architectures.
- Design AI storage and data architectures using object storage, parallel file systems like Ceph, WEKA, , or equivalent platforms.
- Define AI platform architecture across Kubernetes, HPC, container runtimes, model-serving platforms, and enterprise AI frameworks.
- Establish architecture standards for security, identity, tenant isolation, data protection, observability, disaster recovery, and operational resilience.
- Develop reference architectures, high-level/low-level designs, capacity models, bills of materials, technology evaluations, and implementation roadmaps.
- Lead technical evaluations, proof-of-concepts, vendor assessments, and architecture review boards.
- Collaborate with infrastructure, network, security, storage, cloud, data, application, and operations teams.
- Define performance, availability, scalability, security, and cost objectives and validate architecture against measurable acceptance criteria.
- Provide technical leadership during deployment, migration, integration, troubleshooting, and production tran
📌 AI Solution Architect (India)
🏢 Uvation
📍 India