Location
London, United Kingdom

Hours
Full Time

Salary
Negotiable

About the Role
Dell Technologies Infrastructure Solutions Group (ISG) builds the products that power infrastructure, solutions, and data management our customers need most. Our teams design and develop the hardware and software that connect infrastructure, accelerate computational workloads, integrate across the stack, protect data continuity, and deliver the platforms, applications, and diagnostics our customers rely on every day at enterprise scale. Within ISG, innovation means challenging assumptions and reimagining how work gets done. Engineers define intent, author precise specifications, and orchestrate AI agents that execute at speed and scale. AI is embedded throughout our development process, helping us move faster, learn quicker, and deliver greater impact. The most important contribution remains uniquely human: deciding what to build, designing how it should work, and applying the judgment needed to earn our customers' trust.

As a Storage Architect on our Engineering Technologist Team, you will participate in the development of next-generation large-scale AI infrastructure including accelerated compute, AI fabric, and AI-optimized storage. You will engage with high-profile AI customers to optimize solutions for their applications and tune systems for maximum performance. You will drive innovation at the datacenter level with liquid cooling technologies and power density.

You will serve as the technical leader interfacing with enterprise customers to define architectures, understand workload requirements, and translate them into comprehensive solution designs. You will architect AI-optimized storage and data management solutions integrating scale-out file, object, and parallel filesystem software-defined storage technologies. You will influence end-to-end AI infrastructure stacks—from software frameworks through compute, storage, networking, data security, and datacenter deployment (L10–L12).

In collaboration with Engineering and strategic technology partners, you will develop and propose solution configurations, BOMs, and SKUs based on customer needs. You will lead investigations into new fabric technologies and storage platforms to support large-scale AI deployments. You will serve as a technical escalation point for complex development challenges and represent Dell in internal and external architecture forums.

You will generate intellectual property, including invention disclosures and technology strategy insights, and influence multi-year technology and product roadmaps with inputs from engineering, manufacturing, procurement, customers, and the broader industry.

Join us to do the best work of your career and make a profound social impact by shaping the future of enterprise technology.

Experience
10+ years of experience in storage architecture, data platforms, or large-scale distributed systems. Expertise in scale-out file/object storage, parallel filesystems, and key storage concepts such as NFS/S3, erasure coding, deduplication, encryption, tiering, backup, and versioning. Deep understanding of AI/ML workflows, data pipelines, training/inference patterns, Vector DB, KV Cache, and enterprise cluster deployments. Proven ability to collaborate with ISVs on data management and AI workflow integration. Strong ability to define storage configurations to meet production-grade performance and SLA requirements. Demonstrated experience working with industry vendors to influence next-generation technology design. Excellent communication skills with experience presenting to cross-functional teams and senior leaders. Ability to translate business outcomes into practical, scalable technical architectures. Willingness to travel 20–30%.

About you
Innovative and customer-focused with a passion for solving complex systems challenges. Motivated by working alongside AI to amplify impact and excited to shape what’s next rather than maintaining the status quo. Strong leadership skills with the ability to serve as a technical escalation point and represent the company in architecture forums. Collaborative mindset with the ability to engage with strategic partners and customers effectively.

Qualifications
Knowledge of AI/ML or HPC performance engineering, including benchmarking and scripting (e.g., Python, Bash) on Linux is desirable. Hands-on experience with datacenter technologies such as fabrics, cooling, telemetry, or cluster orchestration is a plus.