Solutions Architect
Liquid AI is an efficiency-first foundation-model company building device-native Liquid Foundation Models (LFMs) and tools to customize and deploy them.
Funding history
About Liquid AI
An MIT CSAIL spinout, Liquid AI develops general-purpose AI models focused on efficient deployment across CPUs, GPUs, NPUs, edge devices, and cloud or on-premises environments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own technical customer engagements from qualified opportunity through validation, go-live, and ongoing delivery. You will build demos and proofs of concept, lead technical discovery, map customer architectures to solutions, quantify ROI, and share field feedback with product and research. You will create reusable architectures, demos, playbooks, and solution patterns.
Requirements
- Applied ML experience in customer-facing contexts
- Experience building demos, prototypes, or production integrations
- Experience owning pre-sales and post-sales technical customer engagements
- Customer-facing communication and executive presentation skills
- Knowledge of AI architectures and deployment tradeoffs
- Understanding of token efficiency, deployment models, model size, latency, and open-weight versus proprietary models
Responsibilities
- Own customer engagements from qualified opportunity through go-live and ongoing delivery
- Build customer-specific demos and proofs of concept using Liquid models
- Lead technical discovery and map customer architectures to solutions
- Drive competitive positioning and quantify ROI
- Document friction patterns, evaluation failures, and capability gaps
- Partner with product and research to influence the roadmap
- Create reusable reference architectures, demos, playbooks, and solution patterns
Benefits
- Equity
- 100% employer-paid medical, dental, and vision premiums for employees and dependents
- 401(k) matching up to 4% of base pay
- Unlimited PTO
- Company-wide Refill Days
