Remote (EST) HPC & AI Solutions Architect

Lenovo; United States; Remote; USD 143,000 - 219,000; Full time

Job summary

Lenovo North America HPC & AI Sales is seeking a highly skilled architect specialized in high performance computing and AI. This remote role with EST hours and 50% travel offers the chance to drive technical conversations and support the sales team across major AI and HPC initiatives.

Your experience in HPC design, AI frameworks, and executive stakeholder engagement will be crucial in delivering innovative solutions and building trusted advisor relationships with clients.

Qualifications

• Bachelor's degree in engineering, business or information technology or a relevant technical field.
• 8+ years of experience selling high-tech, big-ticket AI and HPC products or solutions.
• 10+ years of experience as a sales engineer or architect working with infrastructure and high compute solutions.

Responsibilities

• Drive technical conversation with customer around HPC & AI.
• Support the sales team for all technical aspects of the sale.
• Develop technical documentation/write-ups.
• Present technical papers at conferences/shows.
• Understand customers’ challenges in adopting AI.
• Position yourself as a trusted advisor to our customers.
• Educate the extended team on HPC and AI.
• Establish and maintain professional relationships with clients.
• Interface with our WW organization to identify customer needs.
• Ensure timely post-sales delivery of AI solutions.

Skills

AI & HPC sales

Technical sales

Executive stakeholder engagement

Public speaking

Education

Bachelor of Science in Engineering/Business/IT

Tools

GPU accelerators

FPGA accelerators

HPC infrastructure

Job description

Lenovo North America HPC & AI Sales is seeking a highly skilled architect specialized in high performance computing and AI. This remote role with EST hours and 50% travel offers the chance to drive technical conversations and support the sales team across major AI and HPC initiatives.

Your experience in HPC design, AI frameworks, and executive stakeholder engagement will be crucial in delivering innovative solutions and building trusted advisor relationships with clients.