{"id":1648016,"url":"https://alion.io/job/ingram-micro-solutions-architect-presales-netapp","title":"Solutions Architect - Presales | NetApp","company":{"id":653,"name":"Ingram Micro","domain":"ingrammicro.com","url":"https://alion.io/company/ingram-micro","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":58,"ghost_share":0,"stale_share":0.948,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenShift","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-22T00:00:00Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-27T00:41:41Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"It's fun to work in a company where people truly BELIEVE in what they're doing!\nJob Description:\nRole Summary\nWe 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.\nThe 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.\nKey Responsibilities\nAI & Data Infrastructure Consulting\nEngage with customers to understand AI/ML, GenAI, Analytics, and Data Lake requirements.\nDesign AI-ready architectures using NetApp storage platforms, cloud services, and GPU infrastructure.\nAdvise customers on AI data pipelines, model training environments, and data governance frameworks.\nPosition NetApp as the strategic data foundation for AI initiatives.\nTechnical Pre-Sales Leadership\nLead customer workshops, discovery sessions, and solution presentations.\nDevelop HLDs, LLDs, BoMs, sizing, and technical proposals.\nSupport RFI/RFP responses and competitive positioning.\nConduct Proof of Concepts (PoCs), benchmarks, and technology demonstrations.\nAI Solution Architecture\nArchitect solutions involving:NVIDIA GPU infrastructure\nAI Factories\nRAG architectures\nVector databases\nData Lakes and Data Fabrics\nHybrid and Multi-Cloud AI platforms\nKubernetes and MLOps platforms\n\nOptimize storage performance for AI training and inference workloads.\nDesign scalable data pipelines for structured and unstructured data.\nBusiness Development & Enablement\nSupport sales teams in opportunity qualification and account strategy.\nEnable field sales and partner teams on AI solutions and use cases.\nCollaborate with hyperscalers, OEMs, and technology partners.\nEvangelize NetApp AI solutions through customer events, webinars, and executive briefings.\nIndustry & Technology Leadership\nStay current with AI, GenAI, LLMs, MLOps, DataOps, and cloud-native technologies.\nTrack emerging trends in AI infrastructure, storage, and data management.\nProvide market intelligence and customer feedback to product and leadership teams.\nRequired Technical Skills\nAI & Data Platforms\nGenerative AI and LLM ecosystems\nRAG frameworks\nVector databases\nAI/ML lifecycle management\nMLOps and DataOps\nInfrastructure\nEnterprise Storage (NetApp ONTAP, AFF, StorageGRID)\nHigh-Performance Computing (HPC)\nData Lakes and Data Warehouses\nBackup and Cyber Resilience\nCloud Platforms\nMicrosoft Azure AI\nAWS AI/ML Services\nGoogle Cloud AI Platform\nHybrid Cloud Architectures\nContainer & Automation\nKubernetes\nOpenShift\nDocker\nTerraform\nAnsible\nAI Infrastructure\nNVIDIA DGX\nGPU Clusters\nHigh-speed Networking\nAI Data Pipelines\nDistributed Storage Architectures\nDesired Certifications\nNetApp Certified Hybrid Cloud Architect\nNVIDIA AI Infrastructure Certifications\nMicrosoft Azure AI Engineer Associate\nAWS Machine Learning Specialty\nGoogle Professional Machine Learning Engineer\nKubernetes (CKA/CKAD)\nKey Competencies\nExecutive-level customer engagement\nConsultative selling\nSolution architecture\nAI business value articulation\nPresentation and storytelling skills\nCompetitive analysis\nCross-functional leadership\nStrategic account management\nPreferred Experience\n12+ years in Enterprise Infrastructure Pre-Sales.\n5+ years in AI/ML, Data Analytics, Cloud, or HPC solutions.\nExperience supporting large enterprise and strategic accounts.\nProven track record in driving multi-million-dollar infrastructure and AI transformation deals.","description_format":"text","description_chars":3863,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Supply Chain","IT Resellers & VARs","Electronic Components 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