Principal AI Architect

Posted 2 Days Ago
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San Francisco, CA, USA
Hybrid
Senior level
Artificial Intelligence • Big Data • HR Tech • Machine Learning
The Role
Define architectural vision for AI systems, create original products, evaluate new paradigms, and set engineering standards within a senior engineering team.
Summary Generated by Built In
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.

Skills Required

  • BS/MS/PhD in Computer Science, AI/ML, or related field
  • 5+ years in AI/ML engineering with senior role experience
  • Demonstrated history of building original AI products
  • Deep expertise in LLM training, agentic system design, knowledge graphs
  • Comfort operating under high ambiguity
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The Company
35 Employees
Year Founded: 2016

What We Do

HopHR is a recruitment platform that uses AI-driven technology to connect companies with top-tier data science, machine learning, and AI professionals, particularly from Latin America. Founded in 2016, the company focuses on simplifying the hiring process through a combination of human-segmented talent databases and matching algorithms, aiming to break geographic barriers and promote diversity in tech hiring for clients ranging from startups to Fortune 500 enterprises.

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