Senior Principal Architect : Ads Trust & Safety AI Platform

Overview

Microsoft Advertising serves billions of ad decisions every day across search, native, shopping, display, audience, and AI-powered advertising experiences. Trust & Safety is foundational to this marketplace: protecting users from harmful, deceptive, and low-quality content; protecting advertisers, publishers, and partners from fraud and abuse; and ensuring Microsoft Ads operates with strong policy, privacy, security, compliance, and regulatory integrity.We are seeking a deeply technical Senior Principal Architects to define and drive the next generation of the Ads Trust & Safety AI Platform. This is a engineering leadership role that entails setting technical direction, shaping platform strategy, influencing multiple engineering and science teams, and building durable systems that compound across Trust & Safety, Risk, Fraud, Security, Policy, Measurement, and Enforcement. This role is for a hands-on technical leader who can combine large-scale platform engineering with modern AI systems: agentic investigation workflows, LLM-powered reasoning, retrieval and evidence generation, heterogeneous model serving, risk intelligence, human-in-the-loop review, and high-integrity decisioning.The platform will power how Microsoft Ads understands advertisers, domains, landing pages, websites, business entities, policy risk, fraud signals, and adversarial behavior. It will enable faster and more reliable enforcement decisions, richer evidence for reviewers and investigators, safer automation, and stronger marketplace protection. A key part of this role is collaboration across the broader Trust ecosystem: Microsoft Ads, Microsoft Trust and Safety teams across products, Security,  Identity, and relevant worldwide industry peers and partners. The role requires someone who can evangelize technical direction, learn from adjacent teams and industry practices, align standards, and convert shared learnings into production-grade platform capabilities.

Responsibilities

AI Platform Architecture and Technical Strategy

• Define the long-term architecture for the Ads Trust & Safety AI Platform across ingestion, signal acquisition, entity intelligence, retrieval, model orchestration, agentic workflows, decisioning, enforcement, human review, audit, and measurement.
• Translate broad Trust & Safety, Risk, Fraud, Security, and Policy needs into reusable platform capabilities.
• Establish reference architectures, design principles, technical standards, and engineering patterns for high-integrity AI and decisioning systems.
• Drive architecture choices across latency, throughput, quality, cost, explainability, governance, reliability, and operational safety.
• Identify critical platform gaps and create a roadmap that balances near-term delivery with long-term leverage.

Deep Research Agents and AI-Assisted Investigation

• Architect platform for Deep Research Agents that investigate domains, landing pages, advertisers, business entities, ownership patterns, web presence, reputation, policy risk, and fraud signals.
• Architect workflows that combine retrieval, crawling, structured evidence extraction, LLM reasoning, policy grounding, risk scoring and human in the loop.
• Architect guardrails for agentic systems, including source provenance, confidence scoring, hallucination controls, audit logs, escalation paths, and human override.
• Partner with Applied Science to convert AI research prototypes into production systems with clear quality, latency, cost, reliability, safety, and governance targets.

Entity Intelligence, Decisioning, and Enforcement

• Architect systems for high-fidelity understanding of domains, websites, landing pages, advertisers, business identities, ownership structures, relationship graphs, reputation, and provenance.
• Design real-time, nearline, and batch scoring systems for policy enforcement, fraud detection, abuse prevention, advertiser risk scoring, and marketplace protection.
• Evolve abstractions for model orchestration, feature lookup, signal stores, retrieval, model versioning, decision logging, policy controls, fallbacks, and experimentation.

Security, Risk, and Fraud Platform

• Architect systems to detect , learn and mitigate adversarial behavior across the advertiser lifecycle, including account creation, login events, payment changes, budget changes, campaign edits, creative changes, landing-page changes, and enforcement history.
• Build sequential and …