Principal AI Architect

Principal AI Architect

Location: Silicon Valley (Onsite) | Experience: 5+ years | Visa Sponsorship: No

What you'll do

· Define and own the architectural vision for next-generation AI systems: novel agent

architectures, reasoning systems, and proprietary model development.

· Prototype and evaluate breakthrough AI capabilities — predictive modeling, autonomous

signal synthesis, multi-modal intelligence — that create defensible IP.

· Set the technical foundations: data architecture, model serving, agent orchestration, and

inference infrastructure for a multi-year product horizon.

· Evaluate and adopt emerging AI paradigms (multi-agent reasoning, RLHF, retrieval-

augmented fine-tuning) before they are mainstream.

· Establish engineering standards, architecture review processes, and IP documentation

practices for the team.

What we require

· BS/MS/PhD in Computer Science, AI/ML, or related field. PhD or equivalent research

depth preferred.

· 5+ years in AI/ML engineering with at least 2 years in a principal engineer or lead

architect role.

· Demonstrated history of building original AI systems that became products — not

implementations of existing patterns.

· Deep expertise across: LLM training and fine-tuning, agentic system design, knowledge

graph construction, large-scale data modeling.

· Comfort operating in greenfield conditions: high ambiguity, high ownership.

· Patents, published research, or shipped products with clear proprietary differentiation are

strong signals.