AI-Driven Storage Architect for Scalable Infrastructure

Dell Inc.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Dell Technologies in London, United Kingdom, seeks a Storage Architect to lead AI-optimized storage and data management solutions for large-scale deployments. Interface with enterprise customers, translate workload requirements into practical architectures, and collaborate with engineering to define scalable storage configurations.

Candidates should bring 10+ years in storage architecture, deep AI workflow knowledge, and a proven track record in delivering production-grade systems.

Qualifications

• 10+ years of experience in storage architecture or large-scale distributed systems.
• Deep understanding of AI/ML workflows and data pipelines.
• Ability to define production-grade storage configurations meeting performance and SLA.

Responsibilities

• Serve as technical leader interfacing with enterprise customers to define architectures and translate workload requirements into comprehensive designs.
• Influence end-to-end AI infrastructure stacks from software through datacenter deployment.
• Develop and propose solution configurations, BOMs, and SKUs with Engineering and partners.
• Lead investigations into new fabric technologies and storage platforms for large-scale AI deployments; act as escalation point.
• Generate IP and influence multi-year technology roadmaps with input from engineering, manufacturing, procurement, customers and industry.

Skills

Storage architecture

AI/ML workflows

Data pipelines

AI infrastructure

Communication

Vendor collaboration

Architectural design

Tools

Python

Bash

Job description

Dell Technologies in London, United Kingdom, seeks a Storage Architect to lead AI-optimized storage and data management solutions for large-scale deployments. Interface with enterprise customers, translate workload requirements into practical architectures, and collaborate with engineering to define scalable storage configurations.

Candidates should bring 10+ years in storage architecture, deep AI workflow knowledge, and a proven track record in delivering production-grade systems.