AI/ HPC Sr. Field Solutions Architect

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.

What you’ll do 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.

Partner & Internal Collaboration

Coordinate architecture validation with key vendors; stay current on roadmaps affecting AI/HPC platform choices.

Collaborate with professional services and project management so 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.

Occasional travel based on customer and event needs.

At CDW, we strive to offer market‑competitive total rewards packages to attract and retain talent. As such, we are committed to pay transparency and ensuring fair compensation for all our coworkers. Each of our roles is assigned a salary range that is informed by multiple sources of market data. We determine individual pay within a given range based on a candidate's prior experience, knowledge, skills and abilities. This approach allows us to offer competitive and equitable salaries that reflect the value and responsibilities of each role at CDW. Salaries are based on a 40‑hour workweek, and paid on a bi‑weekly payroll schedule.

Pay range: $145,600 - $203,840, depending on experience and skill set.

Current Opening This posting reflects a currently available position within our organization for which we are actively recruiting.

We make technology work so people can do great things CDW is a leading multi‑brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive.

Equal Opportunity Employer CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards 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.

CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, CDW’s goal is to get to know you as an applicant and understand your experience, strengths, skills, and qualifications. While AI can help you present yourself more clearly and effectively, the essence of your application should be authentically yours. To learn more, please review CDW's AI Applicant Notice.

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