Pre-Sales Solutions Architect - AI & GPU Infrastructure

As our GPU Cloud business continues to scale, we are strengthening our AI & GPU Infrastructure capabilities to support a growing portfolio of large-scale GPU clusters and demanding AI workloads. Your mission will be to act as the technical partner for our customers and prospects during the early stages of their projects, helping them translate complex AI and infrastructure requirements into scalable, high-performance GPU solutions. You will combine deep technical expertise with a strong customer-facing mindset to qualify requirements, design tailored architectures, remove technical blockers, and accelerate the sales cycle for some of our most strategic GPU Cloud opportunities.

Responsibilities

Prepare and actively participate in technical client presentations; Deeply understand and analyze clients' AI workloads (including training, fine-tuning, inference, agents, and RAG); Qualify and translate client technical constraints (computational infrastructure, networking, data) into business value; Engage closely with technical contacts and C-level executives to build trust and long-term relationships; Design, plan, blueprint, and provision custom GPU clusters and distributed architectures; Organize and execute Proof of Concepts (POCs) to demonstrate technical viability; Partner internally across HPC, Product, Hardware, Network, and Sales teams to build bespoke infrastructures; Collaborate with sales teams to accelerate the closing process on large-scale deals; Analyze market trends and competitor offerings to contribute to the continuous improvement of our GPU Cluster product lines; Anticipate market needs and participate in defining future services along with their associated service level agreements (SLAs)

Requirements

3 to 8 years of experience in a technical pre-sales engineering role, ideally within an Hyperscaler or Neocloud environment; Strong expertise in Cloud Architecture (IaaS / PaaS) and B2B complex sales cycles; Deep knowledge of GPU Architecture / GPU Clusters (NVIDIA, AMD) and container orchestration (Kubernetes GPU); Familiarity with distributed systems and high-performance storage solutions (Slurm, Lustre, VAST, DDN, CUDA); Solid command of advanced networking protocols for HPC ecosystems (InfiniBand / RDMA); Familiarity with AI training, inference stacks, and MLOps architectures; Excellent business and technical English (both written and spoken) for a worldwide scope; Strong relationship-building skills with the ability to engage with both highly technical engineers and C-level executives; Collaborative mindset with a proven ability to bridge the gap between product engineering and sales teams; Pragmatic problem-solving skills with a business-driven mindset; Strong team spirit and humility (knowing how to share credit with internal stakeholders)

Nice to have

Experience within a Hyperscaler or Neocloud environment

Benefits

Hybrid work: up to 3 days of remote work per week; Spacious, dynamic workspaces with bold design, conveniently located near public transport; Outdoor spaces (terraces) and bike parking facilities; Chef provides healthy meal service at headquarters and breakfast is available across all sites year-round; Swile card for lunches for regional sites; Access to gym, daycare places, and discounted services for caring services; International environment with dozens of nationalities; Internal mobility and transition opportunities within the Iliad Group; Over 100 public cloud products in IaaS, PaaS, and AI; Cutting-edge technical environment with high-performance bare metal servers; Commitment to responsible cloud with data centers powered solely by renewable energy since 2017