3 months ago

Solutions Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

We are building a solutions architecture function from scratch. As one of the first Solutions Architects, you will own customer engagements end-to-end—from technical validation to go-live—building demos, mapping customer architectures to Liquid solutions, and creating scalable assets and playbooks to accelerate enterprise adoption of efficient AI models.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Own customer engagements end-to-end: from qualified opportunity through technical validation, go-live, and ongoing delivery across all customer segments.
•Build customer-specific demos and proofs-of-concept using Liquid models to drive technical wins.
•Lead technical discovery: map current-state customer architectures to Liquid solutions, drive competitive positioning, and quantify ROI.
•Co-own the product-field feedback loop: document friction patterns and influence roadmap with product/research teams.
•Turn engagement learnings into reusable assets: reference architectures, solution primitives, demo blocks, and engagement playbooks.

Key Requirements

•Applied ML skills with hands-on experience building demos, prototypes, or production integrations for customer-facing contexts.
•Pre-sales and post-sales experience: owned technical customer engagements end-to-end.
•Strong customer-facing communication: able to run discovery and present to executives.
•Understanding of AI architectures and deployment tradeoffs: token efficiency, on-device vs. cloud, model size vs. latency.
•Ability to download a model, build a demo, and present it in a boardroom or Jupyter notebook.

Experience:AIEnterprise softwareEdge computing

Skills:CommunicationPresentationProblem-solvingCustomer-facingCollaboration

Tech Stack:JupyterML modelsLEAPDomain adaptationVLLMTensorRT-LLMLlama.cppQuantizationINT4INT8GGUFAWQEdgeOn-device

Company Brief

Liquid AI

Industry: AI & Machine Learning

Website

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Liquid AI

3 months ago

Solutions Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Own customer engagements end-to-end: from qualified opportunity through technical validation, go-live, and ongoing delivery across all customer segments.
•Build customer-specific demos and proofs-of-concept using Liquid models to drive technical wins.
•Lead technical discovery: map current-state customer architectures to Liquid solutions, drive competitive positioning, and quantify ROI.
•Co-own the product-field feedback loop: document friction patterns and influence roadmap with product/research teams.
•Turn engagement learnings into reusable assets: reference architectures, solution primitives, demo blocks, and engagement playbooks.

Key Requirements

•Applied ML skills with hands-on experience building demos, prototypes, or production integrations for customer-facing contexts.
•Pre-sales and post-sales experience: owned technical customer engagements end-to-end.
•Strong customer-facing communication: able to run discovery and present to executives.
•Understanding of AI architectures and deployment tradeoffs: token efficiency, on-device vs. cloud, model size vs. latency.
•Ability to download a model, build a demo, and present it in a boardroom or Jupyter notebook.

Experience:AIEnterprise softwareEdge computing

Skills:CommunicationPresentationProblem-solvingCustomer-facingCollaboration

Tech Stack:JupyterML modelsLEAPDomain adaptationVLLMTensorRT-LLMLlama.cppQuantizationINT4INT8GGUFAWQEdgeOn-device

Company Brief

Liquid AI

Industry: AI & Machine Learning

Website