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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Application Security Engineer - **Company:** Cisco Systems, Inc. - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $139,300.0 - $203,600.0 - **Contract:** Permanent contract - **Skills:** Kubernetes Security, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cyber Security, Open Web Application Security, Systems Development Life Cycle, Secure Coding, Software Vulnerability Management, Software Security, Generative AI, Rate Limiting, Kubernetes, Information Technology, Cisco, Static Application Security Testing, Vulnerability Analysis, Microservices, Dynamic Application Security Testing - **Published:** September 19, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18362560?backUrl=%2Fcareer%2F18362560%2FAi-Application-Security-Engineer-North-Carolina-Research-Triangle-Park ## About the Role * Bachelor's degree in Computer Science, Information Security, or related field with 6+ years of experience in cybersecurity or cloud security engineering. * 3+ years of hands-on experience securing GCP, Azure, or AWS environments in production enterprise environments. * Experience integrating security controls into CI/CD pipelines and Kubernetes environments, including container image hardening, vulnerability scanning, image signing, and runtime policy enforcement. * Experience securing AI/ML workloads and Generative AI systems, including model, data, and inference endpoint protection Preferred Qualifications * Cybersecurity background and operational experience * Certifications from ISC2 (e.g CISSP, CCSP) or ISACA (e.g., SSCP, CC, CISA, CISM. ## Description life insurance, vision insurance, parental leave, paid holidays, sick time, 401(k) 7025 Kit Creek Road (Show on map) Sep 19, 2026 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. Your Impact * 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. ## Related Videos - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Tackling the Risks of AI - With AI](https://www.wearedevelopers.com/videos/1690-tackling-the-risks-of-ai-with-ai) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cloud Chaos and Microservices Mayhem](https://www.wearedevelopers.com/videos/104-cloud-chaos-and-microservices-mayhem) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [Got AI ideas but no money? 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