Storage Architect - Engineering Technologist

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. Some product builders follow the rules. Ours rewrite them. Within ISG, innovation isn't just about creating new technology- it's about 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. Yet 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. When your products power critical infrastructure around the world, that responsibility matters. We move quickly toward the work that matters most. We reward experimentation, encourage bold thinking, and remove unnecessary barriers so great ideas can become reality faster. Our teams embrace a customer-first, first-to-market mindset, transforming rapid feedback into better products and better outcomes. We aren't looking for people who are content with the status quo- we look for builders who question it, improve it, and occasionally rewrite it. If you're energized by solving complex systems challenges, excited to work alongside AI to amplify your impact, and motivated by the opportunity to shape what's next instead of simply maintaining what's been done before, you'll find your place here.

What you’ll achieve:

• Participate in the development of next-generation large-scale AI Infrastructure to include accelerated compute, AI Fabric and AI optimized storage.
• Engage with high profile AI customers to optimize solutions for their applications and tune systems for maximum performance.
• Drive innovation at datacenter level with liquid cooling technologies and power density.
• Serve as the technical leader interfacing with enterprise customers to define architectures, understand workload requirements, and translate them into comprehensive solution designs.
• Architect AI-optimized storage and data management solutions integrating optimized, scale-out file, object, and parallel filesystem SDS technologies.
• Influence end-to-end AI infrastructure stacks—from software frameworks through compute, storage, networking, data security, and datacenter deployment.
• Develop and propose solution configurations, BOMs, and SKUs based on customer needs in collaboration with Engineering and engage with strategic technology partners to co-innovate and build differentiated solutions.
• Lead investigations into new fabric technologies, and storage platforms to support large-scale AI deployments.
• Serve as a technical escalation point for complex development challenges and represent Dell in internal and external architecture forums.
• 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.

Here’s what we are looking for with this role:

Essential Requirements:

• 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 (NFS/S3, erasure coding, deduplication, encryption, tiering, backup, versioning).
• Deep understanding of AI/ML workflows, data pipelines, training/inference patterns, Vector DB, KV Cache and enterprise cluster deployments and 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.
• Excellent communication skills with experience presenting to cross functional teams and senior leaders.
• Demonstrated experience working with industry vendors to influence next generation technology design.
• Ability to translate business outcomes into practical, scalable technical architectures; willingness to travel 20-30%.

Desirable Requirements:

• Knowledge of AI/ML or HPC performance engineering, including benchmarking and scripting (e.g., Python, Bash) on Linux and hands-on experience with datacenter technologies, including fabrics, cooling, telemetry, or cluster orchestration.