AI Factory CPU focused Solutions Architect

About the job For our client, we are seeking a AI Factory CPU Focused Solutions Architect to join the team of a leader in the Telecommunications & Hardware space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a Telecommunications & Hardware environment. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $184,000 – $356,500 annually Responsibilities Define, deploy, and test large-scale reference architectures for HPC and AI Support partners in adopting end-to-end AI solutions using the company technologies Act as a technical leader for CPU components within the the company AI Factory Facilitate the operationalization of AI solutions at scale for customers Help customers overcome barriers to adopting the company’s best practices Collaborate with customers and partners on unsolved industry problems Assist in utilizing MLOps and AI workflow tools for successful project implementations Qualifications 5-7 years of experience in HPC and AI infrastructure Hands-on expertise with data center architectures, including CPUs and GPUs Strong analytical and problem-solving capabilities Educational background in Engineering (BS, MS, or equivalent) Ability to multitask in complex environments Experienced in presenting technical concepts to diverse audiences Flexibility to adapt to changing situations and travel to customer sites Benefits Eligible for equity opportunities Access to comprehensive benefits package Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs. Desired Skills and Experience NVIDIA Reference Architectures, AI workflow tools, MLOps, High Performance Computing (HPC), Arm-based server processors, Arm software ecosystem, AI tools for automation and performance testing, Reinforcement learning, CPUs, GPUs, data center architectures, networking technologies, cloud infrastructure, container orchestration (e.g., Kubernetes), monitoring and logging tools (e.g., Prometheus, Grafana)