AI/ HPC Sr. Field Solutions Architect/ Architecte de solutions senior IA/ HPC

Description At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It’s why we’re coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we’re headed. We’re proud to share our story and Make Amazing Happen at CDW. Join a presales architecture team that helps customers harness AI and advanced computing. As a Senior FSA, you’ll design reference architectures for GPU‑accelerated compute, high‑performance storage, low‑latency networking, and orchestration frameworks that power machine learning, deep learning, and data‑intensive workloads. This is a presales consulting role—you won’t perform hands‑on implementation—but you’ll work in lockstep with professional services, project management, managed services, account teams, and strategic vendor partners to ensure designs are executable and deliver strong outcomes. Why this role matters AI and HPC are transforming decision‑making, research, and product innovation. Customers need trusted advisors who can translate business goals into resilient, performant, and secure platforms. In this role, you’ll create clarity amid complex trade‑offs, guide stakeholders to the right architectural choices, and enable measurable business impact with repeatable solution patterns. Your responsibilities Architecture & Strategy Lead discovery to translate business outcomes into technical requirements and reference architectures for AI/HPC platforms (GPU clusters, distributed training, model serving, orchestration). Design scalable compute using leading GPU technologies; specify low‑latency fabrics (InfiniBand, RoCE) and high‑performance storage (e.g., NVMe, parallel file systems). Define security, resilience, data‑management, and cost‑optimization patterns; document assumptions and trade‑offs. Presales Execution Build solution designs, sizing guidance, diagrams, and BOMs with clear scope boundaries and delivery alignment. Support proposals, statements of work, and risk identification; ensure feasibility with delivery leadership. Present technical content to diverse audiences (engineers to executives) and handle deep‑dive Q&A. Customer & Seller Engagement Act as a trusted advisor on workload placement, performance tuning considerations, and modernization paths. Partner with account managers to qualify opportunities and position the right mix of products, professional services, and managed services. Coordinate architecture validation with key vendors; stay current on roadmaps affecting AI/HPC platform choices. Collaborate with professional services and project management to ensure designs are deployable and milestones are clear. Quality & Reuse Contribute reusable assets (templates, calculators, patterns) and improve architecture quality through peer reviews. Advocate for accurate opportunity data and case hygiene to support forecasting and delivery planning. What we expect of you Must-have Hands‑on presales architecture experience designing AI/HPC infrastructure: GPU‑accelerated compute, distributed training, model serving, high‑performance storage, and low‑latency networking. Strong consulting fundamentals: discovery, requirements translation, executive‑ready communication, and decision framing. Proficiency creating architecture diagrams, BOMs, sizing, and cost/comparison analyses. Demonstrated collaboration across delivery, program/project management, managed services, and vendor partners. Ability to simplify complexity, build stakeholder confidence, and drive consensus. Nice‑to‑have Familiarity with orchestration and scheduling (Kubernetes, Slurm, PBS); parallel file systems (Lustre, BeeGFS); object storage; and benchmarking/performance methods. Exposure to MLOps/ModelOps pipelines, inference serving, RAG infrastructure, or data‑platform integration. Industry knowledge in research, public sector, or enterprise analytics use cases. How you'll work Presales consulting focus (no hands‑on implementation). Cross‑functional collaboration with delivery teams and strategic vendors to ensure designs are feasible and repeatable. Travel Occasional travel based on customer and event needs. Pay range $145,600 - $203,840, depending on experience and skill set. Equal Opportunity Employer CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other basis prohibited by state and local law. We make technology work so people can do great things. #J-18808-Ljbffr