Senior Solutions Architect - AI/HPC

About the role

Penguin Solutions, an AI factory platform company headquartered in Silicon Valley, is looking for a Senior Solutions Architect. The role is the lead technical visionary in the pre-sales process, acting as a trusted advisor to clients and the technical conscience of the sales team. It is a deeply technical, customer-facing position focused on turning complex customer challenges into feasible, end-to-end AI solutions.

Key responsibilities

• Serve as a trusted technical advisor to customers, covering HPC, cloud and AI/ML solutions in secure, regulated enterprise environments.
• Partner with sales to identify, qualify, architect and close opportunities, including direct agency engagements and work through prime contractors and integrators.
• Lead technical responses to RFIs, RFPs and other procurement vehicles, aligned with customer requirements, compliance standards and company capabilities.
• Interpret customer mission, security and performance requirements and contribute to end-to-end solution architectures.
• Deliver technical presentations, architecture reviews and solution briefings for Federal customers, partners and internal stakeholders.
• Act as the main link between sales and Product Management, Engineering and Operations, and give Operations clear product, cluster, networking and design intent.
• Support competitive positioning against alternative offerings and travel to client sites for meetings, briefings and workshops.

Required profile

• 7+ years of experience in a customer-facing, pre-sales technical role such as Solutions Architect or Pre-Sales Engineer.
• Deep hands-on experience designing large-scale enterprise systems in AI/ML, HPC, big data or enterprise software.
• Ability to present complex technical topics to technical and non-technical audiences, and to manage several concurrent design projects in a fast-paced sales environment.
• Hybrid location in Singapore; travel to client sites as needed.

Required skills

• Preferred: Bachelor's degree in computer science or electrical engineering.
• Preferred: deep knowledge of AI/HPC architectures, Linux clusters and data center infrastructure.
• Preferred: experience with NeoCloud environments and familiarity with file systems and software-defined storage (Lustre, Gluster, GPFS/ESS, VAST, WekaIO, CEPH, SWIFT, Cinder).