Solutions Architect
Core
Own customer engagements end-to-end for general-purpose AI systems running on edge devices, mobile, and embedded systems, bridging the gap between model capabilities and customer needs.
Role type
Senior Solutions Architect (AI/ML)
Builds
Customer-specific demos, proofs-of-concept, reference architectures, and solution primitives for Liquid AI's efficient models.
Domain
Artificial Intelligence / Machine Learning / Edge Computing
Deliverable
production ML models | product features
Required skills
Applied ML skills, Pre-sales and post-sales experience, Customer-facing communication, Understanding of AI architectures and deployment tradeoffs
Preferred skills
Efficient model deployment (edge/on-device), Thought leadership content creation, Model evaluation debugging, Quantization and model serving frameworks
Technologies
LEAP, vLLM, TensorRT-LLM, llama.cpp, GGUF, AWQ, INT4/INT8
Responsibilities
Own customer engagements from qualified opportunity through go-live, Build customer-specific demos and PoCs, Lead technical discovery and competitive positioning, Co-own product-field feedback loop, Turn engagement learnings into reusable assets
Seniority
Senior, hands-on IC
