AI & Data Architect - Trust and Safety

Responsibilities

The AI & Data Architect will define the AI and data foundation that enables Trust & Safety (T&S) to scale decision intelligence, automation, and operational excellence. This role will bridge 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 T&S.

Responsibilities:
Define AI & Data Architecture Strategy:
- Establish 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.

Build Scalable AI & Data Foundations:
- 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.

Drive Technical Leadership & AI Transformation:
- 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 Qualification(s):
- 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 Qualification(s):
- 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.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $219000 - $408000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

Responsibilities

Responsibilities

The AI & Data Architect will define the AI and data foundation that enables Trust & Safety (T&S) to scale decision intelligence, automation, and operational excellence. This role will bridge 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 T&S.

Responsibilities:
Define AI & Data Architecture Strategy:
- Establish 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.

Build Scalable AI & Data Foundations:
- 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.

Drive Technical Leadership & AI Transformation:
- 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

Qualifications

Minimum Qualification(s):
- 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 Qualification(s):
- 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.