Solutions Architect - Presales | NetApp

Ingram Micro · Bengaluru

  • Experience12+ yrs
  • SalaryNot disclosed
  • RolePresales Consultant
  • Work modeonsite
  • Levelexecutive
  • Posted3 Oct 2026
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About Ingram Micro

Ingram Micro is hiring in Bengaluru in technology software. This role looks for around 12+ years of experience.

Skills

  • Generative AI
  • Large Language Models
  • Retrieval-Augmented Generation
  • Vector Databases
  • AI/ML Lifecycle Management
  • MLOps
  • DataOps
  • Enterprise Storage
  • High-Performance Computing
  • Data Lakes
  • Data Warehouses
  • Backup and Cyber Resilience
  • Microsoft Azure AI
  • AWS AI/ML Services
  • Google Cloud AI Platform
  • Hybrid Cloud Architectures
  • Kubernetes
  • OpenShift
  • Docker
  • Terraform
  • Ansible
  • NVIDIA DGX
  • GPU Clusters
  • High-Speed Networking
  • AI Data Pipelines
  • Distributed Storage Architectures
  • Solution Architecture
  • Consultative Selling
  • Competitive Analysis
  • Strategic Account Management

The role

A solutions architect at an enterprise technology distribution company designs AI infrastructure for enterprise transformation using Generative AI, solution architecture, and MLOps. Customer workshops, technical proposals, and Kubernetes-based platforms support scalable data pipelines and cloud-native AI initiatives.

Full job description

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 infrastructureAI FactoriesRAG architecturesVector databasesData Lakes and Data FabricsHybrid and Multi-Cloud AI platformsKubernetes and MLOps platformsOptimize 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 ecosystemsRAG frameworksVector databasesAI/ML lifecycle managementMLOps and DataOps

Infrastructure

Enterprise Storage (NetApp ONTAP, AFF, StorageGRID)High-Performance Computing (HPC)Data Lakes and Data WarehousesBackup and Cyber Resilience

Cloud Platforms

Microsoft Azure AIAWS AI/ML ServicesGoogle Cloud AI PlatformHybrid Cloud Architectures

Container & Automation

KubernetesOpenShiftDockerTerraformAnsible

AI Infrastructure

NVIDIA DGXGPU ClustersHigh-speed NetworkingAI Data PipelinesDistributed Storage Architectures

Desired Certifications

NetApp Certified Hybrid Cloud ArchitectNVIDIA AI Infrastructure CertificationsMicrosoft Azure AI Engineer AssociateAWS Machine Learning SpecialtyGoogle Professional Machine Learning EngineerKubernetes (CKA/CKAD)

Key Competencies

Executive-level customer engagementConsultative sellingSolution architectureAI business value articulationPresentation and storytelling skillsCompetitive analysisCross-functional leadershipStrategic 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.