Strategic AI & Data Architect for Trust & Safety

TikTok; New York (NY); Sur place; USD 219 000 - 408 000; Plein temps

Résumé du poste

TikTok seeks an AI & Data Architect to define the foundational AI and data strategy for Trust & Safety, bridging AI, data, product, and engineering teams. You will shape reference architectures, patterns, and governance to scale decision intelligence and automate safety workflows.

The role emphasizes responsible AI, scalability, and cross-functional collaboration, guiding engineers, data scientists, and operators toward trustworthy AI adoption at scale.

Qualifications

• 5+ years of experience in data architecture, AI systems, ML platforms, or related technical domains.
• Strong experience designing scalable data ecosystems and AI-enabled applications.
• Deep understanding of data architecture, ML lifecycle, GenAI patterns, and responsible AI practices.
• Ability to translate ambiguous problems into scalable technical solutions and influence stakeholders.

Responsabilités

• Define AI & Data Architecture Strategy with target-state for data and AI capabilities.
• Build scalable AI-ready data models, data products, and architecture patterns.
• Design knowledge systems, AI platforms, and intelligent workflows including RAG.
• Drive production readiness, governance, explainability, and reliability of AI solutions.
• Act as design authority and mentor teams to raise architecture maturity.

Connaissances

Data architecture

AI systems

GenAI architecture patterns

Responsible AI practices

Outils

ML platforms

Feature systems

Vector databases

Knowledge graphs

MLOps

Description du poste

TikTok seeks an AI & Data Architect to define the foundational AI and data strategy for Trust & Safety, bridging AI, data, product, and engineering teams. You will shape reference architectures, patterns, and governance to scale decision intelligence and automate safety workflows.

The role emphasizes responsible AI, scalability, and cross-functional collaboration, guiding engineers, data scientists, and operators toward trustworthy AI adoption at scale.