AI Solutions Engineer

About This Role

This role involves supporting presales activities by designing, configuring, and recommending cutting-edge AI solutions based on NVIDIA DGX systems and OEM (HGX) platforms. You will collaborate with partners, customers, and internal sales teams to translate business requirements into optimized infrastructure solutions.

Responsibilities

• Serve as the primary AI Infrastructure SME, providing expert guidance on NVIDIA DGX platforms and compatible OEM solutions for AI training, inference, and HPC workloads
• 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
• 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
• 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
• Design and propose tailored infrastructure solutions that align with customers' business objectives and outcomes

Requirements

• 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

Qualifications

• 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.

Nice to Have

• 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

Skills

* Required skills

Benefits