Presales Storage Architect – Unstructured Data & Hybrid Cloud

Presales Storage Architect – Unstructured Data & Hybrid Cloud    This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

We’re seeking an experienced Storage Architect with a deep focus on unstructured workloads, hybrid cloud storage architectures, and emerging AI-driven data pipelines. This is a highly visible, customer-facing role with significant influence over solution direction and product strategy. You will help customers architect storage platforms that support modern AI and data-intensive workloads, including AI inferencing pipelines and Retrieval-Augmented Generation (RAG) architectures, ensuring storage performance, scalability, and data accessibility requirements are met.

Overview: As a Storage Architect – Unstructured Data & Hybrid Cloud, you will: Partner with customers to design and architect scalable file and object storage solutions. Lead solution workshops, assessments, and proofs of concept (POCs) validating technical fit and performance. Provide subject matter expertise on unstructured storage protocols (NFS, SMB) and object storage. Apply knowledge of AI-driven data workflows, including AI inferencing and RAG, to guide customers in validating storage architectures that support large-scale unstructured data pipelines and AI-enabled applications. Collaborate closely with product management to gather customer requirements, influence the product roadmap, and drive technology direction. Bring strong competitive knowledge and market awareness to inform both internal strategy and customer positioning. Travel extensively to work directly with customers, partners, and internal teams as needed.

Architect and document enterprise-grade file and object storage solutions tailored to customer needs. Lead and execute POCs to evaluate performance, scalability, and integration across platforms. Design storage architectures that support emerging AI and data processing workloads, including AI inferencing and RAG pipelines, with attention to throughput, metadata performance, latency optimization, and overall platform performance. Work closely with product management to capture customer feedback, translate requirements into product enhancements, and help prioritize the roadmap. Provide thought leadership, competitive analysis, and positioning strategies to internal and external stakeholders. Present technical solutions to executive and technical audiences. Maintain up-to-date knowledge of unstructured storage trends, cloud storage integration, and emerging technologies. Support pre-sales engagements, RFIs/RFPs, and solution justification based on best practices and real-world experience.

5+ years of hands-on experience designing and implementing unstructured storage solutions. Bachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience). Strong customer-facing experience with technical solution design and delivery Proven expertise with file protocols NFS & SMB, and S3. Solid understanding of object storage technologies and APIs. Demonstrated experience planning and executing POCs. Hands-on with AI data pipelines including inferencing and RAG,