AI Solutions Engineer

SHI International Corp. is a global provider of IT solutions and services, seeking a highly technical and customer-focused Solutions Engineer specializing in AI Infrastructure. This role involves designing and recommending AI solutions, collaborating with various teams, and managing the solution practice pipeline to meet customer needs.

Responsibilities:

• 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 contacts, including CIOs, IT Directors, and CTOs, to ensure comprehensive account management
• Educate and develop AGT and SHI teams on technical selling, product training, services, and technology trends

Requirements:

• Completed Bachelor's Degree or relevant work experience required
• 5+ years of experience in presales engineering, solutions architecture, or technical consulting focused on data center infrastructure, preferably with AI/ML/HPC workloads
• Proven expertise with NVIDIA DGX systems, GPU technologies (e.g., CUDA, NCCL), and AI data center platforms
• Hands-on experience with OEM AI server platforms (e.g., Dell, HPE, Lenovo) and configuring AI-optimized solutions
• Strong knowledge of data center components: servers, storage (NVMe, high-performance), networking (InfiniBand, Ethernet), power, and cooling systems
• Experience creating BOMs, sizing infrastructure for AI workloads, and performing cost/performance analysis
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
• Ability to travel to SHI, Partner, and Customer Events
• Experience working in complex Data Center sales opportunities - Intermediate
• Ability to design data center infrastructures that include hybrid cloud, hyper converged, software-defined data center (SDDC), infrastructure/platform as a service, automation, containerization, and Data Center Management Platforms - Intermediate
• Strong knowledge of Virtualization technologies, Hypervisors, server virtualization, Software Defined Data Center, containerization, and automation - Intermediate
• Ability to effectively communicate and sell complex technical products or services by understanding customer needs, articulating the value proposition, and providing technical expertise to support the sales process - Intermediate
• Expertise in mainstream technologies to include: Dell Technologies, NetApp, HPE, Cisco, Pure Storage, Azure, AWS, Veeam, Nutanix - Intermediate
• Experience with Disaster Recovery, Business Continuity and High Availability Solutions (backup/recovery, data protection, mirroring, active/standby, active/active, clustering) - Intermediate
• Certifications in NVIDIA (e.g., DGX Certified) or relevant vendor technologies
• Experience in Enterprise Datacenter technologies and solutions
• Knowledge and Experience in datacenter, power and cooling technologies
• Familiarity with AI software stacks (e.g., TensorFlow, PyTorch, Kubernetes for AI)
• Experience in cloud-hybrid AI deployments or large-scale data center projects
• Knowledge of the AI Factory concept, NCPs, AI Cloud Providers
• Strong problem-solving skills and a customer-centric mindset