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# Chief Leading Expert - Next-Gen Storage Media & AI Data Infrastructure

- **Company:** Eu Recruit
- **Location:** UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Adobe Flash, Non-Volatile Memory
- **Published:** June 28, 2026
- **Apply:** https://eu-recruit.com/jobs/chief-leading-expert-next-gen-storage-media-ai-data-infrastructure-7/

## About the Role

* 15+ years of experience in storage systems, including:
 + Solid-state storage (e.g., NAND/SSD)
 + Distributed or cloud storage systems
 + Cold or archival storage technologies
 * Proven track record of leading large-scale, high-impact technical projects.

Technical Expertise

 * Strong understanding of AI infrastructure, including:
 + Large model inference systems
 + Cache management strategies
 + Vector search and retrieval systems
 * Deep expertise in at least one storage domain, with working knowledge of others:
 + Flash-based storage
 + Cold storage systems
 + Emerging non-volatile memory technologies
 * Advanced knowledge of storage system design, including:
 + Data layout and classification
 + Workload profiling
 + Tiering strategies
 + I/O path optimization
 + Scheduling and orchestration

Additional Qualifications

 * Strong ability to interpret technology trends and translate them into actionable system strategies.
 * Experience with heterogeneous system design and near-data computing concepts.
 * Excellent communication skills and ability to influence cross-functional and global teams.
 * Experience engaging with senior stakeholders in academia and industry.

## Description

A global research organization is seeking a Chief Architect / Senior Technical Leader to drive the evolution of next-generation storage systems optimized for the AI era.

This role focuses on redefining storage architectures across multiple media types-ranging from high-performance to cost-efficient tiers-to support large-scale AI workloads. The position combines deep expertise in storage systems with strong understanding of AI infrastructure, enabling efficient data pipelines for training, inference, and retrieval-augmented systems.

The successful candidate will lead innovation in heterogeneous storage, near-data computing, and system-level optimization for future data-centric platforms.

Key Responsibilities

Strategic Technical Leadership

 * Define long-term technology roadmaps for multi-tier storage systems, including warm and cold data layers.
 * Align storage architectures with the full AI data lifecycle, including:
 + Data ingestion
 + Feature and embedding generation
 + Vector indexing and retrieval
 + Model inference
 * Anticipate industry trends and guide convergence of hardware and software innovations.

Storage Architecture Innovation

 * Design next-generation storage architectures addressing bottlenecks in high-latency and large-scale data systems.
 * Develop advanced techniques for:
 + Data placement and layout
 + I/O scheduling and orchestration
 + Intelligent caching strategies
 * Translate physical media characteristics (latency, endurance, throughput, cost) into optimized system designs.

AI-Driven Storage Optimization

 * Bridge storage systems with AI workloads to improve:
 + Throughput
 + Tail latency
 + Reliability
 * Design storage-aware optimizations for modern AI pipelines, including:
 + Retrieval-augmented generation (RAG) systems
 + Embedding storage and vector indexing
 + Data tiering and hot/cold data management
 + Prefetching and cache reuse strategies

Ecosystem Development & Collaboration

 * Lead collaboration with academic institutions and research organizations.
 * Foster innovation through partnerships and open research initiatives.
 * Translate research breakthroughs into prototypes and production-ready technologies.


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