Principal AI Architect
Location:Silicon Valley (Onsite) Experience:5 years Visa Sponsorship:No
What youll 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.
Principal AI Architect Location:Silicon Valley (Onsite) Experience:5 years Visa Sponsorship:No What youll 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 ...
Principal AI Architect
Location:Silicon Valley (Onsite) Experience:5 years Visa Sponsorship:No
What youll 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.
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