Title:  Senior Solutions Architect

Job Summary

An AI Solutions Architect (AI SA) will be a subject matter technical expert across defined NetApp AI solutions and use cases, including Generative AI, Machine Learning, Data Lakes and Data Pipelines. This role is key to influencing customer buying decisions through confident presentation of how NetApp will solve customer business and technical challenges related to AI adoption and scaling. AI SAs are located within assigned territory and able to travel regularly to visit local customers and partners.

Business Objectives

• Land net-new AI accounts and expand into new AI/ML/GenAI use-cases within existing accounts.
• Grow the entire NetApp AI portfolio by positioning value beyond core storage—focusing on the AI Data Pipeline, GenAI solutions, and ML lifecycle acceleration.
• Drive measurable AI Solutions Pipeline and AI Bookings Growth with clear alignment to AI-specific customer initiatives (GenAI pilots, RAG production rollouts, AI-driven analytics).
• Increase SE participation rate in AI solutions bookings, ensuring strong field adoption of AI messaging and technical differentiation.

Responsibilities

• Actively coaches and mentors field teams and partners on AI/ML/GenAI workloads, guiding them on how to position NetApp’s AI differentiation with customers.
• Partners with field teams on strategic AI opportunities—assisting in discovery, workload scoping, AI data pipeline integration, competitive differentiation, and business relevance to secure AI technical wins.
• Engages with SEs to design and illustrate AI customer solutions, including architecture for model training, inference, RAG pipelines, and scalability considerations across hybrid and multi-cloud AI environments.
• Builds and nurtures a network of AI technical contacts within customers, partners, ISVs, and hyperscaler alliances to foster deeper AI engagement and adoption.
• Drives AI pipeline generation in partnership with marketing through AI-focused workshops & TestDrives, blogs/vlogs, EBCs, webinars and Tech ONTAP events.
• Proactively develops regional AI pipeline opportunities with field marketing by delivering technical enablement such as AI bootcamps, RAG solution webinars, and MLOps best-practice sessions.
• Stays informed on AI industry trends, evolving GenAI/RAG frameworks, NetApp AI product updates, NVIDIA NIM ecosystem changes, and competitive AI solution messaging.

Skills and Competencies

• Possesses technical mastery in AI/ML/GenAI solutions and data pipelines, stays updated with AI industry trends, and applies knowledge to solve client AI and data challenges.
• Ability to proactively identify and pursue new AI business opportunities, demonstrating a “hunting mentality” to drive growth in AI/ML workloads and expand NetApp’s presence in the AI ecosystem.
• Demonstrates mastery in the NetApp AI portfolio (ONTAP AI, AIPod, DataOps Toolkit, StorageGRID, AFF, etc) and how to differentiate them from competitor offerings while highlighting strategic alliances with NVIDIA, Hyperscalar cloud providers and AI ISV partners.
• Proficient in mentoring and coaching field teams and partners, helping them develop AI solution competency, positioning NetApp as the trusted advisor for AI data pipeline, GenAI/RAG solutions, and ML training/inference workloads.
• Skilled in securing the technical AI win by engaging with customers on AI reference architectures, performance benchmarks, and scalability requirements—bridging business outcomes with differentiated NetApp AI solutions.