Sr. Solutions Architect

At Penguin Solutions (Nasdaq: PENG) – The AI Factory Platform Company – we’re building a team of innovators who thrive on collaboration, creativity, and the opportunity to help shape the future of AI. As part of the AI technology revolution, our teams design, build, deploy, and manage AI factories for enterprises, sovereign AI initiatives, and neocloud providers worldwide.
Headquartered in Silicon Valley, California, Penguin Solutions operates globally through a network of R&D, manufacturing, and sales locations. For nearly three decades, we have operated at the intersection of memory and AI/HPC infrastructure. That engineering expertise positions us to power the next generation of AI workloads, from training to inference and agentic AI at scale.
Penguin Solutions brings together differentiated infrastructure software, advanced memory, compute systems, end-to-end services, and industry-leading partner solutions in a full-stack AI factory platform designed to help customers deploy and scale AI workloads with speed and precision.
At Penguin Solutions, we value ideas over hierarchy and believe in servant leadership, where leaders enable teams to do their best work. We empower employees to take ownership, drive innovation, and grow through challenging work, continuous learning, and exposure to advanced AI tools and technologies. With flexibility where it matters and a strong focus on outcomes, Penguin Solutions is a place to do your best work, grow your career, and make a meaningful impact.
Job Overview
We are seeking a highly skilled Sr. Solutions Architect to join our team. In this role, you will serve as the lead technical visionary in the pre-sales process, acting as a trusted advisor to clients and the technical conscience for our sales team. You will be responsible for translating complex customer challenges into elegant, feasible, and compelling end-to-end AI solutions. This is a deeply technical, customer-facing role where you will design cutting-edge solutions aligned with mission requirements and our strategic business goals.
Responsibilities
Serve as a trusted technical advisor to customers, providing deep expertise across HPC, Cloud, and AI/ML solutions in secure and 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 and contribute to technical responses for RFIs, RFPs, and other procurement vehicles, ensuring alignment with customer requirements, compliance standards, and Penguin Solutions’ capabilities.
Interpret customer mission, security, and performance requirements and contribute to the development of end-to-end solution architectures.
Develop and deliver technical presentations, architecture reviews, and solution briefings for Federal customers, partners, and internal stakeholders.
Act as the primary liaison between the sales organization and internal teams, including Product Management, Engineering, and Operations, to ensure solutions are feasible, differentiated, and deliverable.
Provide Operations with clear product, cluster, networking, and design intent to enable factory-integrated and field-deployed solutions.
Support competitive positioning by articulating the value of Penguin Solutions versus alternative offerings.
Travel throughout the assigned territory to support customer meetings, briefings, and technical workshops.
Qualifications
7+ years of experience in a customer-facing, pre-sales technical role such as Solutions Architect, Pre-Sales Engineer, or a similar capacity.
Deep, hands-on experience designing complex, large-scale enterprise systems (e.g., in AI/ML, HPC, Big Data, or enterprise software).
Exceptional presentation, whiteboarding, and communication skills, with a demonstrated ability to present complex technical topics to both technical and non-technical audiences.
Proven ability to manage multiple, concurrent design and architecture projects in a fast-paced sales environment.
A strong understanding of the interplay between software, hardware, and networking in modern data center environments.
Preferred Qualifications
Bachelor’s degree in computer science or electrical engineering.
Deep knowledge of AI/HPC architectures, Linux clusters, and Data Center Infrastructure
Familiarity with File Systems and Software Defined Storage (e.g. Lustre, Gluster, GPFS/ESS, VAST, WekaIO, CEPH, SWIFT, Cinder)
Location
Remote - India
Travel
As needed with travel to client sites

Work arrangement
Yes