Principal AI Architect
OtherAi Architect
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Quick Summary
Overview
Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from…
Key Responsibilities
• Define and own the architectural vision for next-generation AI systems: novel agent architectures, reasoning systems, and proprietary model development.
Technical Tools
database-designmachine-learningsystem-design
Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.
We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.
Location: San Francisco, SoMa — minimum 4 days per week in-office.
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.
• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.
Location & Eligibility
Where is the job
San Francisco, United States
Hybrid — some on-site time required
Who can apply
US
Listed under
United States
Listing Details
- Posted
- April 22, 2026
- First seen
- April 22, 2026
- Last seen
- October 2, 2026
Posting Health
- Days active
- 163
- Repost count
- 0
- Trust Level
- 33%
- Scored at
- October 3, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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