Senior Security Engineer, AI Enablement

What you'll do

• Design security architecture for agentic AI components, including MCP servers, tool integrations, and identity management.
• Define permission boundaries, trust boundaries, and blast radii for all agent-to-tool and agent-to-agent interactions.
• Write and review production code for security-critical components like authentication, permissioning, and agent orchestration.
• Translate complex security requirements into actionable product decisions for the engineering team during sprint cycles.
• Develop and maintain security requirements, configuration standards, and "secure-by-default" patterns for new features.
• Conduct threat modeling and define safety guardrails for AI products before they are released.
• Represent the product's security posture to the broader corporate cybersecurity organization and leadership.
• Monitor agentic security research and real-world incidents to proactively mitigate emerging risks.

What we're looking for

• Must have 6+ years of security engineering experience embedded within a software product or engineering team.
• Must possess strong software engineering skills to read, write, and review production code.
• Must have hands-on experience with agentic AI architectures, including MCP servers and the Claude Agent SDK.
• Must have deep knowledge of identity and access concepts, including OAuth, OIDC, and least-privilege credential design.
• Must demonstrate the ability to act as a technical peer to software engineers rather than just a reviewer.
• Must possess excellent cross-functional communication skills to represent product architecture to the broader security organization.
• A Bachelor's degree in Computer Science, Engineering, or a related field is preferred.