Senior AI Security Engineer

About this role

Job Description:

Job Description Summary

The AI Security Engineer is a hands-on technical role dedicated to securing the AI systems, models, and pipelines that power Vertex's products. This role partners with product engineering, platform, governance, and information security teams to identify, assess, and mitigate risks that are unique to large language models, retrieval-augmented generation, agentic workflows, and the broader AI supply chain.

As a member of the AI Security organization, this role owns the applied AI security practice building the tooling, threat models, red team exercises, and developer guidance that enable Vertex to ship AI-powered features safely and responsibly. The AI Security Engineer operates at the intersection of offensive research, defensive engineering, and policy, translating the rapidly evolving AI threat landscape into concrete, measurable controls.

Key Responsibilities

• Perform threat modeling and security reviews of AI features, including LLM-enabled applications, RAG systems, inference pipelines, and agentic workflows.
• Analyze AI systems to identify, characterize, and prioritize security vulnerabilities.
• Ensure AI actions are fully traceable using industry-standard identity, security, and logging frameworks.
• Perform hands-on testing and develop automated red teaming for AI and agentic features, especially focused on AI specific risks like prompt injection.
• Document reproducible failure modes and partner with engineering teams to implement and verify durable mitigations.
• Build or extend AI security automation and evaluation harnesses.
• Define how AI agents coordinate, delegate, and escalate within security workflows.
• Work with engineering to define secure-by-default patterns and guidance for AI system design, development, prompts, retrieval, tool use, output handling, deployment, logging, and least-privilege agents.
• Monitor emerging AI threats, frameworks, and platform changes, and convert relevant r...