Senior Solutions Architect, AI Infrastructure Build Readiness - Execution

Role overview Lead technical engagements that help OEMs and deployment partners prepare, integrate, and scale AI infrastructure. This role connects customer workloads to hardware and software platforms, shapes deployment architectures, and coordinates readiness, validation, and issue resolution across large infrastructure build-outs.

Responsibilities - Understand customer workloads and recommend platform architectures suited to their technical and operational needs. - Co-design scalable solutions with OEM and deployment partners, setting integration milestones and deployment plans. - Work hands-on to design, validate, support, and troubleshoot partner solutions. - Lead infrastructure build readiness and deployment validation, resolving technical issues as they arise. - Share partner needs and product gaps with engineering and product teams to inform improvements. - Enable platform adoption through technical guidance and collaboration across internal and partner teams.

Requirements - A bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent experience. - At least eight years of relevant professional experience, including three to five or more years hands-on with AI infrastructure, data center deployment, or large-scale AI/HPC systems. - Deep technical experience in HPC, AI/ML, data center infrastructure, rack-scale systems, or large GPU deployments. - Experience working with OEM, ODM, systems integrator, or deployment partner ecosystems. - Ability to explain complex technical topics to engineers and executive audiences, build trusted relationships, and guide difficult decisions. - Willingness to travel up to 50% for partner and deployment engagements.

Nice to have - Experience with AI Factory deployments, accelerated computing, large-scale GPU systems, or deployment readiness programs. - A record of helping customers adopt technical platforms and influencing product or engineering direction. - Experience with field engineering, professional services, manufacturing, or deployment services teams.

Benefits and work setup The role includes equity and benefits. The stated base salary range is $184,000–$287,500; pay depends on location and experience.