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Senior role with niche AI-infrastructure pre-sales skills lowers qualified applicant density.
Highly specialized AI infrastructure and vendor-specific expertise limits cross-industry transferability.
Explicit 12+ years and specialized AI, NetApp, GPU, and cloud requirements increase filter rigidity.
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Drive AI, Generative AI, Data Analytics, and Intelligent Data Infrastructure opportunities using NetApp's AI-ready storage and data management solutions.
Architect AI solutions involving NVIDIA GPU infrastructure, RAG architectures, vector databases, hybrid/multi-cloud AI platforms, Kubernetes, and MLOps to accelerate business outcomes.
Lead pre-sales technical activities including workshops, solution design (HLD/LLD), PoCs, RFI/RFP responses, and customer enablement while ensuring scalability, security, and data governance.
12+ years in Enterprise Infrastructure Pre-Sales experience.
5+ years experience specifically in AI/ML, Data Analytics, Cloud, or HPC solutions.
Strong expertise in AI infrastructure, GPU-based architectures, cloud platforms (Azure, AWS, Google Cloud), enterprise storage technologies (NetApp ONTAP, AFF, StorageGRID).
Desired certifications such as NetApp Certified Hybrid Cloud Architect, NVIDIA AI Infrastructure, Azure AI Engineer Associate, AWS ML Specialty, Google ML Engineer, or Kubernetes (CKA/CKAD).
Experienced in strategic, executive-level customer engagement and consultative selling within AI and infrastructure domains.
Proven success in architecting and delivering scalable AI infrastructure and data management solutions for large enterprise customers.
Demonstrated ability to lead cross-functional teams and manage multi-million-dollar AI transformation deals in enterprise/pre-sales environments.