AI & Data Architect - Trust and Safety
- Locations
- San Jose, United States of America · New York, United States of America
- Salary range
- USD $219,000 – $408,000 base
- Workplace
- In office
- Level
- Individual contributor
- Job family
- Engineering
- Posted
- Recently
The T&S Network estimates this role to be P3, Senior. The typical base salary for that level in Safety Engineering & Data Science is $220k to $310k at an employer this size in the San Francisco Bay Area or New York. Key skills at this level: owns a detection system end to end, including its drift and its retraining, designs for adversarial pressure rather than for a static distribution, and sets evaluation methodology others in the company adopt.
Why this level
Estimated from the posting rather than stated by the employer: asks for 5+ years · posts $219k to $408k base at a company over 5,000 in the San Francisco Bay Area or New York · the title reads as P2.
The role, in T&S terms
Written by the T&S Network from TikTok's posting.
Designs the AI and data architecture that Trust & Safety uses to scale decision intelligence, automation and operations across the platform. The role bridges AI, data, product, engineering and safety teams to turn complex safety problems into reusable technical solutions.
What you'd do
- Write architecture principles, standards and reusable patterns that T&S teams apply across their work.
- Work with cross-functional leaders to find places where AI and data can improve safety outcomes.
- Design AI-ready data models and data products for analytics, machine learning and GenAI applications.
- Wire together safety data inputs like policy knowledge, enforcement outcomes, investigation files, user reports and operational signals.
- Architect RAG, knowledge system, AI agent and human-in-the-loop solutions, and take them from experiment to production.
- Act as design authority for major T&S AI and data initiatives and build reference architectures for responsible AI adoption.
What it asks for
- Proven track record designing large-scale data systems and AI-powered applications.
- Working knowledge of the ML lifecycle, GenAI patterns such as RAG and embeddings, and responsible AI practices.
- Skill at converting vague business problems into scalable technical designs and persuading both technical and non-technical stakeholders.
- Experience building AI systems on large-scale consumer platforms (preferred)
- Hands-on familiarity with ML platforms, feature stores, vector databases, knowledge graphs or MLOps (preferred)
Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on TikTok before you apply. If we got something wrong, report this listing.
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Still listed 14 hours ago
About TikTok

The employer
About TikTok
Social platforms · Media and streaming · Culver City, CA · 50,001 to 100,000 people · Founded 2016
Short-form video platform, run by ByteDance outside the US and by a joint venture of Oracle, Silver Lake and MGX inside it since 2026.
Moderation, reported
TikTok filed 37.7M moderation decisions with the European Commission for May 2026.
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