AI Solutions Engineer

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.

We are seeking a highly technical and customer-focused Solutions Engineer specializing in AI Infrastructure and platforms to join our Advanced Growth Technologies team. As a subject matter expert (SME) in AI data center platforms, you will play a critical role in supporting presales activities by designing, configuring, and recommending cutting‑edge AI solutions based on NVIDIA DGX systems and OEM (HGX) platforms both Hardware and Software technologies.

You will collaborate closely with the Partner Eco‑System, AGT, SHI customers and internal field sales teams to translate business requirements into optimized infrastructure solutions, including hardware design and configurations, Bill of Materials (BOM) creation, and performance recommendations. This role requires deep expertise in GPU‑accelerated computing, data center architecture, and AI workloads to drive successful customer outcomes.

The Solutions Engineer - AI Infrastructure collaborates with the AGT team and SHI account teams to assess customer data center environments and design tailored infrastructure solutions that align with business objectives. This role involves building technical relationships with All AI OEMs, obtaining and providing training to sales teams and customers, managing the solution practice pipeline, and engaging with various client contacts to identify technology opportunities across Data Center, Cloud (NCPs), Network, Security, and Services spaces.

• Serve as the primary AI Infrastructure SME, providing expert guidance on NVIDIA DGX platforms and compatible OEM solutions for AI training, inference, and high‑performance computing (HPC) workloads.
• Work with and assess customer requirements through discovery and qualification sessions, workshops, and technical consultations to design tailored AI data center solutions.
• Create detailed hardware configurations, including server, storage, networking, and GPU components, ensuring scalability, performance, and cost‑efficiency.
• Utilize Reference Architectures provided by all OEMs, validate and recommend properly aligned solutions.
• Develop and maintain accurate Bills of Materials (BOMs) for proposed solutions, incorporating power, cooling, and rack considerations.
• Deliver technical presentations, proofs of concept (POCs), and solution demonstrations to customers and internal teams.
• Provide recommendations on best practices for AI infrastructure deployment, optimization, and integration with existing environments.
• Support field sales teams by participating in customer meetings, responding to RFPs/RFIs, and addressing technical objections during the sales cycle.
• Collaborate with vendors (e.g., NVIDIA, OEM partners) to stay current on product roadmaps, certifications, and emerging technologies.
• Contribute to internal knowledge sharing by documenting solutions, creating playbooks, and training sales teams on AI infrastructure trends.
• Monitor industry developments in AI hardware, including GPUs, accelerators, and data center innovations, to inform solution strategies.
• Collaborate with account teams to evaluate and understand customer data center environments and infrastructure technologies.
• Design and propose tailored infrastructure solutions that align with customers' business objectives and outcomes.
• Build and maintain technical relationships with OEMs and strategic partners, while staying updated on the latest product information.
• Provide product training and technical education to the sales team and customers.
• Act as a trusted AI advisor for customers, partnering with Field Account Executives.
• Manage the solution practice pipeline by developing strategies for top prospects and acquiring new business.
• Identify and uncover technology opportunities within Data Center, Cloud, Network, Security, Collaboration, and Services spaces.
• Develop solutions that fit customers’ needs and budgets through strategic planning.
• Engage with multiple layers of client…