Drimva

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AI & Data Architect - Trust and Safety

New York, New York · Full-time · Posted Oct 28, 2026

Experience
5+ years in data architecture, AI systems, machine learning platforms, or related technical domains.

About the job

Defines the AI and data architecture and leads scalable, responsible AI solutions that improve Trust & Safety decision-making, automation, and operations.

What you'll do

  • Set architecture strategy, standards, and reusable patterns for Trust & Safety data and AI capabilities.
  • Design AI-ready data foundations and solutions, including RAG, knowledge systems, AI agents, and human-in-the-loop workflows, and guide them into reliable production.
  • Lead strategic initiatives, promote responsible AI practices, and influence and mentor cross-functional teams.

What they ask for

  • Strong experience designing scalable data ecosystems and AI-enabled applications.
  • Deep understanding of data architecture, the machine learning lifecycle, GenAI architecture patterns (e.g., RAG, embeddings, knowledge systems), and responsible AI practices.
  • Ability to translate ambiguous business problems into scalable technical solutions and influence technical and non-technical stakeholders.

Nice to have

  • Experience building AI systems on large-scale consumer platforms.
  • Experience in Trust & Safety, fraud prevention, cybersecurity, risk, or compliance; or familiarity with ML platforms, feature systems, vector databases, knowledge graphs, or MLOps.

Tools

RAG, embeddings, knowledge systems, AI agents, ML platforms, feature systems, vector databases, MLOps

AI focus

Architects AI and data foundations and responsible GenAI, machine learning, and workflow solutions for Trust & Safety, including RAG, knowledge systems, agents, and human-in-the-loop workflows.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)