Senior Services Solutions Architect – AI, Advanced Services

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

Everpure is looking for a Senior Services Solution Architect to lead the development of Advanced Services capabilities across AI data platforms and production AI, helping customers turn enterprise data and AI use cases into validated, production-ready solutions.

This is a senior, innovation-focused Professional Services role responsible for identifying customer and market opportunities, shaping technical approaches, validating them through customer engagements and pilots, and maturing successful concepts into scalable, repeatable services and capabilities.

You will act as a senior Advanced Services technical authority for AI, working closely with our AI pre-sales teams, Product Engineering, partners, and delivery organizations. You will combine strong AI and data architecture expertise with hands-on experimentation to help customers progress from use-case definition and prototype through data preparation, model and retrieval evaluation, integration, and production.

The role sits at the intersection of AI, enterprise data and customer execution. It is not a generic AI application-development role, nor an infrastructure-only role. The focus is applying AI to real customer problems, proving what works, and establishing the data, architecture and operational foundations required to run it successfully in production.

• Shape AI Services Strategy: Help define the Advanced Services strategy and capabilities for AI, identifying customer needs, emerging use cases, technology trends, and opportunities to accelerate adoption.

• Validate AI Requirements: Work with strategic customers to understand AI use cases and translate them into the data, platform and services requirements necessary to move from concept to production.

• Architect AI Data Solutions: Design architectures spanning enterprise data, preparation and transformation, retrieval, embeddings, vectorization, knowledge architectures, model integration, and AI consumption.

• Drive DataStream Services: Develop discovery methodologies, corpus assessment, deployment patterns, reference architectures, sizing, retrieval optimization and production-readiness approaches around DataStream and associated AI data pipelines.

• Lead Pilot-Led Innovation: Work in an FDE-style model with customers through discovery, prototype, MVP and pilot phases, iterating rapidly and turning successful approaches into scalable delivery capability.

• Productionize AI Solutions: Help customers move from experimentation into production, addressing model and retrieval quality, performance, observability, governance, resiliency, operational readiness, and lifecycle requirements.

• Bridge Pre-Sales and Delivery: Partner closely with AI FSAs, AI specialists, Product Engineering, partners, and delivery teams to transition emerging AI opportunities into executable customer engagements.

• Influence Product and Services Direction: Capture learning from real customer deployments and create feedback loops into Product Engineering and the wider organization to improve products, architectures, and future services.

• Accelerate