# Solutions Architect at Liquid AI

- Company: Liquid AI
- What the company does: Liquid AI builds efficient Liquid Foundation Models (LFMs) for on-device, edge, and cloud AI with low latency, privacy, and hardware-aware deployment.
- Company website: https://www.liquid.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: Remote
- Posted: 2026-04-13
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/liquid-ai/59fd7c6b-bc62-4855-bbd5-dd0233e6c672
- Page: https://www.1752.vc/careers/jobs/liquid-ai-solutions-architect/

## About the role

Liquid AI is building a solutions architecture function from scratch. You will be one of the first SAs, working directly with the Head of Solutions Architecture and across the go-to-market org to own customer engagements end-to-end. Our models are purpose-built for environments where memory, latency, and power are binding constraints - edge devices, mobile, embedded systems, and on-prem infrastructure where frontier models simply cannot run. You will work at this boundary every day.

## What they're looking for

- Applied ML skills: hands-on experience working with ML models in customer-facing contexts (building demos, prototypes, or production integrations)
- Pre-sales and post-sales experience: you have owned technical customer engagements end-to-end, not just the pitch
- Strong customer-facing communication: you can run discovery, build relationships with technical and business buyers, and present to executives
- Understanding of AI architectures and deployment tradeoffs: token efficiency, on-device vs. cloud, model size vs. latency, open-weight vs. proprietary

Tags: GTM