Senior Services Solutions Architect – AI, Advanced Services

Pure Storage • Raleigh, NY

26d • Onsite

About The Position

Everpure is seeking a senior, innovation-focused Professional Services architect to develop Advanced Services capabilities for AI data platforms and production AI. The role helps customers turn enterprise data and AI use cases into validated, production-ready solutions by identifying opportunities, shaping technical approaches, validating them through engagements and pilots, and maturing successful concepts into scalable, repeatable services.

The architect serves as a senior technical authority for AI within Advanced Services, collaborating with AI pre-sales teams, Product Engineering, partners, delivery organizations, and customers. The work combines AI and data architecture expertise with hands-on experimentation, guiding customers from use-case definition and prototype through data preparation, model and retrieval evaluation, integration, and production. The position focuses on applying AI to customer problems and establishing the data, architecture, and operational foundations needed to run solutions successfully in production.

Requirements

• Proven experience designing, prototyping, and deploying enterprise AI/ML or GenAI solutions beyond proof-of-concept environments.
• Strong experience with data preparation, ingestion, transformation, retrieval pipelines, embeddings, vectorization, and modern enterprise data architectures.
• Practical experience with RAG, knowledge graphs, vector databases, chunking strategies, retrieval optimization, model integration, and evaluation methodologies.
• Strong understanding of how model selection, inference, embeddings, retrieval, and evaluation affect enterprise AI data-platform design.
• Understanding of MLOps/LLMOps, observability, deployment automation, model and data lifecycle management, performance tuning, reliability, and operationalization.
• Strong understanding of infrastructure and platforms for modern AI environments, including cloud, Kubernetes, GPU-enabled architectures, storage, and networking.
• Ability to work between architecture and implementation, prototype solutions, diagnose technical challenges, and make sound trade-offs.
• Experience working directly with enterprise customers, characterizing ambiguous requirements, defining practical delivery paths, and progressing engagements from discovery through pilot and production.
• Ability to establish credibility with senior technical stakeholders and align Product, Engineering, Sales, Services, partners, and customers around a common technical direction.

Responsibilities

• Help define Advanced Services strategy and capabilities for AI by identifying customer needs, emerging use cases, technology trends, and adoption opportunities.
• Work with strategic customers to understand AI use cases and translate them into data, platform, and services requirements for production.
• Design architectures covering enterprise data, preparation and transformation, retrieval, embeddings, vectorization, knowledge architectures, model integration, and AI consumption.
• Develop DataStream discovery methodologies, corpus assessments, deployment patterns, reference architectures, sizing, retrieval optimization, and production-readiness approaches.
• Work with customers through discovery, prototype, MVP, and pilot phases, iterating rapidly and turning successful approaches into scalable delivery capabilities.
• Help customers move AI solutions into production by addressing model and retrieval quality, performance, observability, governance, resiliency, operational readiness, and lifecycle requirements.
• Partner with AI FSAs, AI specialists, Product Engineering, partners, and delivery teams to transition emerging AI opportunities into executable customer engagements.
• Capture learning from customer deployments and provide feedback to Product Engineering and the wider organization to improve products, architectures, and services.
• Influence pipeline and strategic opportunities by translating complex customer requirements into credible architectures, pilots, and repeatable engagement models.

Benefits

• Flexible time off
• Wellness resources
• Company-sponsored team events

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed