Required Qualifications-

- Minimum 10 years in technical pre-sales, solutions architecture, or advanced engineering roles at a solutions provider, OEM, cloud provider, or consulting firm.
- Hands-on experience designing AI/ML infrastructure and platforms. Must be able to whiteboard an end-to-end AI architecture from GPU cluster design through networking, storage, software staock, MLOps pipeline, and inference deployment.
- Working knowledge of NVIDIA DGX/HGX systems, CUDA, AI Enterprise software suite, and partner integration patterns.
- Experience with AI workloads across on-premises, cloud (AWS, Azure, GCP), and hybrid environments. Understanding of NCP models, GPU-as-a-service, and sovereign AI infrastructure.
- Exceptional ability to translate technical complexity into business-relevant narratives. Robust presentation and whiteboarding skills.
- Comfortable operating in a revenue-generating, pre-sales context.



Understands that the purpose of technical engagement is to advance deals.
- Experience collaborating in co-selling models with sales specialists, field account teams, and partner SE resources.
- Bachelor’s degree in computer science, engineering, or related field required.

Preferred Qualifications

- NVIDIA-certified or equivalent AI/ML platform certifications.
- Cloud architecture certifications (AWS SA Pro, Azure Solutions Architect, GCP PCA).
- Prior experience at a top-tier solutions provider, related OEM, or cloud provider.
- Experience designing AI Factory / GPU cluster architectures at enterprise scale.
- Familiarity with WWT’s Advanced Technology Center model and lab-led selling methodology.
- Masters or advanced degree in technology, analytics, or business preferred.

📌 AI Solutions Architect (India)
🏢 World Wide Technology Holding
📍 India