AI Application Security Engineer

The application window is expected to close on: 10/29/2026 Meet the Team Join Cisco’s Enterprise AI team, the core group enabling Generative AI powered experiences across Cisco. Our mission is to build secure, scalable AI platforms that empower teams to safely develop, deploy, and operationalize AI-powered solutions. We operate at the intersection of applied AI, cloud infrastructure and security —partnering across engineering, security, compliance, and product teams to bring trusted AI to life at enterprise scale.

We are a fast-growing, highly collaborative team of platform engineers, AI engineers, and data scientists who value technical depth, ownership, and pragmatic execution. What makes this team exciting is the opportunity to define how secure Generative AI is built and governed inside a global technology leader.

• Embed security into the Secure SDLC by defining and implementing guardrails across design, development, testing, and deployment phases.
• Integrate and optimize application security tooling, including SAST, DAST, SCA, and secrets scanning, within CI/CD pipelines to proactively identify and remediate vulnerabilities.
• Lead threat modeling and secure design reviews for cloud-native and microservices-based applications.
• Drive container and Kubernetes security practices, including image hardening, vulnerability management, and runtime controls.
• Define and enforce API security standards, including authentication, authorization, rate limiting, and protection against common API threats.
• Partner with engineering teams to triage, prioritize, and remediate security findings, improving overall security posture and developer experience.
• Establish secure coding standards and provide guidance on common vulnerabilities (e.g., OWASP Top 10) and remediation best practices.
• Enhance software supply chain security through dependency management, artifact integrity, and build pipeline protections.

Minimum Qualifications

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