AI & Data Architect - Trust and Safety

About the role

This role bridges AI, data, product, engineering, and safety teams to translate complex safety challenges into scalable solutions. The architect will shape technical strategy, establish reusable architecture patterns, and enable responsible adoption of AI across Trust & Safety (T&S).

Trust & Safety content that this role interacts with includes images, video, and text related to everyday life, but it can also include (but is not limited to) bullying; hate speech; child safety; depictions of harm to self and others, and harm to animals. Hence, it is possible that this role will be exposed to harmful content on a daily basis. TikTok recognizes that keeping our platform safe is both rewarding and psychologically demanding, and we are committed to providing comprehensive wellbeing programs to support employees.

Responsibilities

• Define the target-state architecture for T&S data and AI capabilities, including data foundations, knowledge systems, AI platforms, and intelligent workflows.
• Develop scalable architecture principles, standards, and reusable patterns across T&S teams.
• Partner with cross-functional leaders to identify high-impact opportunities where AI and data can improve safety outcomes.
• Design AI-ready data models, data products, and architecture patterns to support analytics, machine learning, and GenAI applications.
• Enable integration of diverse safety data sources, including policy knowledge, enforcement decisions, investigations, user reports, and operational signals.
• Architect next-generation AI solutions using approaches such as RAG, knowledge systems, AI agents, and human-in-the-loop workflows.
• Drive solutions from experimentation to reliable production by improving scalability, reliability, explainability, and governance.
• Act as a design authority for strategic AI and data initiatives across Trust & Safety.
• Create reference architectures and best practices for responsible AI adoption.
• Influence engineering, data science, product, and operations teams to accelerate AI-enabled safety transformation.
• Mentor teams and raise overall architecture maturity across T&S.

Qualifications

Minimum Qualifications:

• 5+ years of experience in data architecture, AI systems, machine learning platforms, or related technical domains.
• Strong experience designing scalable data ecosystems and AI-enabled applications.
• Deep understanding of data architecture, 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 across technical and non-technical stakeholders.

Preferred Qualifications:

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

About TikTok

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, with offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

We strive to do great things with great people, fostering an environment of curiosity, humility, and impact. Every challenge is an opportunity to learn and innovate as one team. We embrace an "Always Day 1" mindset, achieving meaningful breakthroughs for ourselves, our company, and our users.

Benefits

• Day-one access to medical, dental, and vision insurance.
• 401(k) savings plan with company match.
• Paid parental leave, short-term and long-term disability coverage, and life insurance.
• Wellbeing benefits.
• 10 paid holidays per year.
• 10 paid sick days per year.
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

Pay

The base salary range for this position is $219,000 - $408,000 annually. Compensation may vary based on qualifications, skills, experience, and location. This role may also be eligible for additional discretionary bonuses/incentives and restricted stock units.