AI Supercompute Infrastructure Solutions Architect | Poland @ Deloitte v Česko

Odpovědnosti

Původní popisek. 

1. End-to-End AI Infrastructure architecture. Translate customer requirements—including AI training, fine-tuning, inference, RAG, simulation, data volumes, performance targets, availability objectives, and future growth—into complete architectures across compute, storage, networking, data-centre infrastructure, and platform software.
2. Solution definition and technical leadership. Lead technical discovery, requirements gathering, architecture workshops, solution reviews, and design decisions. Establish the target-state architecture, identify dependencies and risks, define technical standards, and provide a clear path from concept through implementation.
3. Bill of Materials development. Develop detailed, technically validated, and commercially viable BOMs covering GPU servers, CPU and management nodes, storage systems, InfiniBand or Ethernet fabrics, switches, NICs, DPUs, optics, cables, racks, PDUs, power infrastructure, cooling equipment, and relevant software, subscriptions, and support services.
4. Vendor architecture coordination. Work directly with server OEMs, GPU vendors, storage providers, networking vendors, system integrators, and specialist partners to validate solution configurations, confirm compatibility, align performance and resiliency assumptions, review lead times, compare options, and resolve technical dependencies.
5. Compute architecture and sizing. Define infrastructure for AI training, inference, fine-tuning, LLM Inference and data-processing workloads. Size GPU capacity, GPU memory, CPU, RAM, topology, local NVMe, host networking, management infrastructure, and expansion paths based on workload requirements.
6. Storage architecture. Define high-performance storage architectures appropriate for AI and GPU-intensive workloads. Cover capacity, throughput, IOPS, metadata performance, caching, tiering, data protection, backup, replication, and integration with Kubernetes, Slurm, and other cluster platforms.

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O pozici / o projektu

Původní popisek. 

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