Solutions Architect - Lead It's fun to work in a company where people truly BELIEVE in what they're doing!

: Role Summary We are seeking an experienced AI-focused pre-Sales professional to drive AI, Generative AI, Data Analytics, and Intelligent Data Infrastructure opportunities leveraging NetApp's AI-ready storage and data management portfolio. The role will partner with Sales, Partners, Cloud Providers, and Enterprise Customers to architect AI solutions that accelerate business outcomes while ensuring scalability, security, and data governance. The ideal candidate will possess solid expertise in AI infrastructure, GPU-based architectures, cloud platforms, storage technologies, and enterprise data management.

The individual will act as a trusted advisor for customers embarking on AI transformation initiatives.

Key Responsibilities AI &

- Data Infrastructure Consulting Engage with customers to understand AI/ML, GenAI, Analytics, and Data Lake requirements. Design AI-ready architectures using NetApp storage platforms, cloud services, and GPU infrastructure. Advise customers on AI data pipelines, model training environments, and data governance frameworks.

Position

NetApp as the strategic data foundation for AI initiatives.

Technical

Pre-Sales Leadership Lead customer workshops, discovery sessions, and solution presentations. Develop HLDs, LLDs, BoMs, sizing, and technical proposals. Support RFI/RFP responses and competitive positioning.

Conduct

Proof of Concepts (PoCs), benchmarks, and technology demonstrations. AI Solution Architecture Architect solutions involving: NVIDIA GPU infrastructure AI Factories RAG architectures Vector databases Data Lakes and Data Fabrics Hybrid and Multi-Cloud AI platforms Kubernetes and MLOps platforms Optimize storage performance for AI training and inference workloads. Design scalable data pipelines for structured and unstructured data.

Business

Development &





- Enablement Support sales teams in opportunity qualification and account strategy. Enable field sales and partner teams on AI solutions and use cases. Collaborate with hyperscalers, OEMs, and technology partners.

Evangelize

NetApp AI solutions through customer events, webinars, and executive briefings. Industry &

- Technology Leadership Stay current with AI, GenAI, LLMs, MLOps, DataOps, and cloud-native technologies. Track emerging trends in AI infrastructure, storage, and data management. Provide market intelligence and customer feedback to product and leadership teams.

Required Technical

Skills AI &

- Data Platforms Generative AI and LLM ecosystems RAG frameworks Vector databases AI/ML lifecycle management MLOps and DataOps Infrastructure Enterprise Storage (NetApp ONTAP, AFF, StorageGRID) High-Performance Computing (HPC) Data Lakes and Data Warehouses Backup and Cyber Resilience Cloud Platforms Microsoft Azure AI AWS AI/ML Services Google Cloud AI Platform Hybrid Cloud Architectures Container &
- Automation Kubernetes OpenShift Docker Terraform Ansible AI Infrastructure NVIDIA DGX GPU Clusters High-speed Networking AI Data Pipelines Distributed Storage Architectures Desired Certifications NetApp Certified Hybrid Cloud Architect NVIDIA AI Infrastructure Certifications Microsoft Azure AI Engineer Associate AWS Machine Learning Specialty Google Professional Machine Learning Engineer Kubernetes (CKA/CKAD) Key Competencies Executive-level customer engagement Consultative selling Solution architecture AI business value articulation Presentation and storytelling skills Competitive analysis Cross-functional leadership Strategic account management Preferred Experience 12 years in Enterprise Infrastructure Pre-Sales. 5 years in AI/ML, Data Analytics, Cloud, or HPC solutions.

Experience supporting large enterprise and strategic accounts. Proven track record in driving multi-million-dollar infrastructure and AI transformation deals.

Experience Level Senior Level

📌 Lead Solutions Architect - AI & Data Infrastructure (Bengaluru)
🏢 Ingram Micro India Private
📍 Bengaluru