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.

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.
No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.

Principal AI Architect

Key skills