Sr. Solutions Architect

Liqid

1d•$155,000 - $175,000•Hybrid

About The Position

Liqid is seeking a Sr. Solutions Architect to lead technical pre-sales engagements for key customer opportunities. This role involves earning credibility with technical buyers, shaping solution architectures, leading proof-of-concept work, and translating complex infrastructure challenges into clear customer value. The position is hands-on and customer-facing, partnering with account executives on discovery, design, PoCs, RFP responses, and executive technical conversations. The Solutions Architect will own the technical strategy for their territory, reporting to the SVP of Worldwide Solutions Engineering. The ideal candidate can whiteboard GPU inference clusters, run disciplined PoCs, and articulate technical outcomes in business terms. This role is crucial in helping customers rethink GPU infrastructure as HBM, power, and utilization become primary constraints, translating Liqid's capabilities into practical customer architectures and feeding field insights back into product development.

Requirements

5+ years in technical pre-sales, solutions architecture, or field engineering at a B2B infrastructure, systems, or AI infrastructure company.
A track record of personally owning the technical work on competitive deals discovery, architecture, PoC, and technical close.
Solid, current knowledge of AI/ML infrastructure: GPU systems (H100/H200/B100/B200 class and successors), the memory hierarchy, and cluster-scale architecture for training and inference.
Working command of the modern data center stack: server platforms, fabric and networking (CXL, PCIe Gen5/6, NVLink, InfiniBand, RoCE/Ethernet), and storage.
Hands-on familiarity with virtualization and VDI (VMware and equivalents) and orchestration / scheduling (Kubernetes, SLURM) and an honest sense of where each is mature and where it isn’t.
Credible on the economics of infrastructure GPU utilization, cost-per-token, TCO not just the bits and bytes.
Consultative by instinct you listen for the real problem before you reach for the product.
A genuine sales partner you make your AE better, qualify honestly, and treat the number as partly yours.
Owner, not passenger you take responsibility for your territory and don’t wait to be told what the next move is.
Curious by default you stay current on the AI infrastructure landscape because you find it interesting, not because someone made you.
A clear communicator who can explain a composable architecture cleanly to an engineer, a CIO, or a CFO.

Nice To Haves

Experience working alongside or through tier-one OEMs (Dell, HPE, Cisco, Supermicro, Lenovo, or equivalents) is a strong plus.

Responsibilities

Own the technical relationship for accounts across your territory from first discovery through technical close to deployment.
Partner with your AE on every meaningful opportunity: technical discovery, solution design, PoC scoping, RFP/RFI response, and executive technical engagement.
Run technical discovery that gets to the real requirement GPU utilization targets, workload mix, fabric constraints, and the economics behind the decision not just the stated spec.
Be accountable for technical win rate and PoC conversion in your territory, with clear visibility into where deals are won, lost, or stuck.
PoC’s will be delivered physically with Liqid hardware at a customer or partner venue. Also via a remote lab environment, hosted by Liqid.
Full ownership of the PoC process is expected including installation, configuration and testing.
Scope, run, and win proofs of concept against explicit, customer-agreed success criteria and drive them to a decision.
Build and deliver compelling demos of Liqid Matrix tailored to the workload in front of you: AI training, inference at scale, HPC, and virtualization / VDI.
Contribute to and reuse the team’s library of reference architectures, sizing tools, TCO models, and PoC playbooks so the team scales faster than headcount and what worked once is repeatable.
Maintain credible working knowledge of the demo and lab environment and feedback what the field needs from it.
Operate as a true partner to sales. Help qualify hard, shape the technical strategy on a deal, and know when to walk away from a poor-fit opportunity.
Carry a territory-ownership mindset: understand your accounts, your competitive landscape, and your pipeline well enough to be proactive rather than reactive.
Engage credibly across the customer org from a principal engineer or chief architect to a CIO or CFO buying committee and adjust the message to the audience.
Be a structured voice of the customer back to Product and Engineering translating field signal into prioritized, evidence-backed input rather than one-off anecdotes.
Working closely with support, marketing and our OEM partners to educate, optimise and develop capabilities.
Surface roadmap gaps and integration priorities (e.g. SLURM, Kubernetes, virtualization / VDI, northbound integrations) clearly and early, with the customer context that makes them actionable.
Help close the loop between field PoCs and engineering on early-access and design-partner work.
Ensure a clean technical hand-off from pre-sales to deployment, customer success, and support so what the customer was sold matches what gets delivered.
Stay engaged on your most strategic deployments to protect against technical churn and to surface expansion opportunities.