Engineering, Cybersecurity, Application Security Engineer, Vice President

What you'll do

• Advise engineering teams on agentic AI security, assess AI-specific risks, and establish guardrails for AI workloads and agent workflows.
• Embed application security in development through threat modeling, code and design reviews, CI/CD controls, vulnerability remediation, and developer guidance.
• Coordinate third-party AI red teaming and application penetration testing, and contribute to security standards and governance.

What they ask for

• At least 3 years in application or product security and 7 years of cumulative experience across software development and information security.
• Demonstrated experience securing generative or agentic AI, or strong current hands-on knowledge of LLM and agentic AI security risks applicable to production.
• Strong knowledge of authentication and authorization, SDLC, CI/CD, application security testing (SAST, DAST, SCA), and vulnerability assessment.
• Experience with modern deployment practices, including serverless functions and containerized workloads to Kubernetes; ability to read code in one or more common languages.

Nice to have

• Bachelor’s degree or higher in Computer Science, Information/Cyber Security, or a related field, or equivalent work experience; relevant certifications.
• Experience with AI agent frameworks and MCP, AI red teaming, cloud-native security, CI/CD tooling, or financial services.

Tools

Model Context Protocol (MCP), OAuth 2.0, OpenID Connect, SAML, JWT, Kubernetes, Python, JavaScript/TypeScript

AI focus

Secure generative and agentic AI systems, including AI agents, autonomous workflows, tool-using LLM applications, RAG pipelines, and AI-specific risk controls.