Liquid AI, Inc. logo

Solutions Architect

Job Overview

Location

San Francisco

Job Type

Full-time

Category

Sales

Date Posted

April 15, 2026

Full Job Description

đź“‹ Description

  • • As one of the first Solutions Architects at Liquid AI, you will build the solutions architecture function from scratch, working directly with the Head of Solutions Architecture and the go-to-market team to own customer engagements end-to-end, bridging the gap between what Liquid’s efficient AI models can do and what customers believe is possible.
  • • You will own customer engagements from qualified opportunity through technical validation, go-live, and ongoing delivery, building customer-specific demos and proofs-of-concept using Liquid models (including LEAP for fine-tuning), leading technical discovery, mapping customer architectures to Liquid solutions, quantifying ROI, and turning engagement learnings into reusable assets like reference architectures and engagement playbooks.
  • • Liquid AI, spun out of MIT CSAIL, builds general-purpose AI systems optimized for deployment across data center accelerators to on-device hardware, prioritizing low latency, minimal memory usage, privacy, and reliability, and partners with enterprises in consumer electronics, automotive, life sciences, and financial services.
  • • You will develop deep expertise in efficient AI model deployment, influence product roadmap through customer feedback, create scalable technical assets, and grow into a leadership role in shaping Liquid’s go-to-market strategy while working closely with founding team members.

Skills & Technologies

C++
Jupyter
Senior
Onsite

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About Liquid AI, Inc.

Liquid AI builds foundation models and enterprise infrastructure for deploying large-scale generative AI in regulated industries. Its platform provides model training, fine-tuning, and inference services optimized for on-premises and air-gapped environments, emphasizing data privacy, security, and regulatory compliance. Founded by MIT researchers, the company serves financial services, healthcare, and government clients requiring controlled AI systems with transparent governance and full auditability.

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