Solutions Architect - Presales | NetApp

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 strong 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.

Work arrangement
No