Solutions Architect - Presales | NetApp

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

Job Description:

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.

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.