AI Governance Architect: Scalable Safety & Compliance

TikTok; San Jose (CA); Presencial; USD 288 000 - 480 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical, dental, and vision insurance

401(k) match

Paid parental leave

Disability insurance

Life insurance

Wellbeing benefits

10 paid holidays per year

Resumo da oferta

TikTok's AI Governance team seeks a Software Architect to design and implement scalable, high-performance systems governing data and models across the ML lifecycle. You will translate privacy, safety, and regulatory requirements into platform capabilities and partner with ML platform, research, product, privacy, and security teams at scale.

Responsibilities include building lineage, provenance, model registries, safe-release workflows, and governance hooks while advancing governance in a

Qualificações

• Bachelor’s or Master’s degree in Computer Science or related field.
• Strong background in large-scale distributed systems, databases, messaging and streaming systems, and caching.
• Hands-on experience with ML lifecycle at production scale — training pipelines, feature/data stores, model registries, or online serving systems.
• Expertise in data and/or model governance for large-scale model training and deployment: lineage, access control, evaluation, release gating, monitoring.
• Experience with microservices architecture and containerization (Docker, Kubernetes), cloud platforms such as AWS or GCP, and Agile development and DevOps practices.
• Strong communication and collaboration skills; ability to work independently across multiple priorities.

Responsabilidades

• Design and implement scalable, reliable, high-performance systems for data and model governance across the full ML lifecycle — data ingestion, training, evaluation, deployment, and online inference.
• Architect controls for large-scale model training and deployment: training-data lineage and provenance, dataset approval and taxonomy, model registries, evaluation gates, and safe-release workflows for foundation and generative AI models.
• Develop innovative solutions to tackle emerging risks in Generative AI — including prompt-injection defense, data leakage and memorization mitigation, output safety filtering, agentic-system guardrails, watermarking, and provenance signals.
• Partner with ML platform and research teams to embed governance hooks (policy checks, PII/PNS filtering, red-team evaluations) directly into training and serving paths without regressing model quality or throughput.
• Collaborate with privacy, security, and legal to ensure systems comply with applicable regulations (GDPR, CCPA, EU AI Act, sector-specific rules) and with TikTok's own commitments on responsible AI.
• Drive the technical roadmap for AI governance platform capabilities; identify and evaluate new techniques, tools, and research that strengthen the governance posture at scale.
• Provide technical leadership and mentorship to engineers across the organization on AI governance, data governance, and generative-AI risk topics.

Conhecimentos

Distributed systems

Databases

Messaging/Streaming

Caching

ML lifecycle

Data governance

Model governance

Governance for Gen AI

Docker

Kubernetes

AWS

GCP

Agile/DevOps

Communication

Formação académica

Bachelor’s or Master’s in Computer Science or related field

Ferramentas

Docker

Kubernetes

AWS

GCP

Descrição da oferta de emprego

TikTok's AI Governance team seeks a Software Architect to design and implement scalable, high-performance systems governing data and models across the ML lifecycle. You will translate privacy, safety, and regulatory requirements into platform capabilities and partner with ML platform, research, product, privacy, and security teams at scale.

Responsibilities include building lineage, provenance, model registries, safe-release workflows, and governance hooks while advancing governance in a