Senior Cloud AI Abuse and Security Analyst

Google•Washington, DC

9d•$159,000 - $230,000

About The Position

The Trust and Safety Cloud AI team safeguards users, protects platform integrity, and supports responsible deployment of AI products at global scale. It builds defenses against misuse of generative models and agents through proactive threat detection and mitigation. The Senior Cloud AI Abuse and Security Analyst helps ensure Google Cloud AI products are safe, secure, and trustworthy. The role investigates potential security harms and user-protection challenges, identifies and mitigates emerging AI threats such as adversarial attacks and misuse of generative technologies, and synthesizes large datasets to uncover abuse patterns. The work supports resilient AI deployments and safe AI growth.

Requirements

Bachelor's degree or equivalent practical experience.
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
5 years of experience managing projects and defining project scope, goals, and deliverables.

Nice To Haves

MS or PhD in a technical discipline such as Computer Science, Statistics, Mathematics, or Operations Research.
Experience in anomaly detection, security analysis, time-series analysis, or metrics and reporting.
Proficiency in one or more programming languages such as Python, Go, R, Julia, C/C++, Java, or SQL.
Solid understanding of generative AI, Large Language Models (LLMs), and AI agents, with security threat detection experience.
Solid problem-solving, critical thinking, and attention to detail in a dynamic environment.

Responsibilities

Develop and deploy scalable safety solutions for Cloud AI using advanced machine learning.
Analyze data to identify infrastructure vulnerabilities and patterns of AI abuse.
Evaluate generative and agentic AI risks through benchmarking, dataset design, and monitoring.
Define abuse standards for novel AI use cases to counter hyperscale threats.
Manage incident response and root cause analyses (RCAs), and partner with teams to implement long-term security strategies.