In this role, you will scope and lead focused security reviews on critical internet scale AI deployments that include the agents, MCPs, their platform and supporting infrastructure. You will learn services’ AI architecture and risk profile to build a scope for our AI deployments that enables a meaningful security review. You will ensure that scope focuses on the use and relevant risks of in use AI models, while maintaining the model itself as out of scope. You will use AI to expedite all stages of your work, while maintaining accountability for all outcomes. You will use your depth of knowledge to identify risks that go undetected by agentic tools and processes to reinforce and improve those processes.
6+ years in an information security field or software engineering; 2 or more of those years conducting security reviews
1+ year reviewing AI deployments such as MCPs and Agents
2+ years of manually reviewing source code to assist in finding vulnerabilities
Experience building or contributing to AI tools or AI security tools
Ability to adapt quickly to prioritization shifts and investigate unfamiliar technologies
Extensive infrastructure, cloud, and application security experience
Experience communicating risk to engineering and leadership teams
8+ years in an information security field; 4 or more of those years conducting security reviews
Bachelors degree in Computer Science / Engineering or a related, with emphasis in security related fields (or equivalent experience)
Ability to reason about and influence software architecture for security
Community contributions like public CVEs, bug bounty recognition, open source tools, blogs, talks etc.