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.

Benefits

Health, wellness, and financial benefits to offer peace of mind to you and your family.
Continuous professional growth and leadership opportunities.
World-class facilities and the technology you need to thrive.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

NVIDIA DGX systemsGPU technologiesCUDANCCLAI data center platformsOEM AI server platformsNVMeInfiniBandEthernetBOM creation

Soft skills

communication skillspresentation skillstechnical consultingcustomer engagementstrategic planningrelationship managementteam collaborationtechnical educationproblem-solvingadaptability