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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Security Engineer Hybrid - **Company:** Cisco Systems, Inc. - **Location:** Durham, NC, United States - **Experience:** Experienced - **Salary:** $128,400.0 - $172,300.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cyber Security, Identity and Access Management, Network Security, Systems Integration, Generative AI, AI Platforms, Kubernetes, Information Technology, Cisco, Vulnerability Analysis - **Published:** July 1, 2026 - **Apply:** https://dejobs.org/x/x/92010FF5A03249A8B596732AED5C4812/job/ ## 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 designing and managing IAM, encryption, and network security controls. * 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 ## Description 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 * Design and implement secure cloud architectures that enable enterprise-scale Generative AI platforms and services. * Establish security guardrails, IAM strategies, and network controls to ensure AI workloads are deployed safely and compliantly. * Embed security controls into CI/CD pipelines and infrastructure-as-code workflows to proactively reduce cloud misconfiguration risk. * Lead threat modeling and risk assessments for AI systems to protect sensitive data, models, and inference endpoints. * Partner with AI engineers, platform teams, and GRC stakeholders to operationalize security standards that enable innovation while reducing risk. * Success in this role means delivering scalable cloud security patterns that accelerate AI adoption while strengthening Cisco's enterprise security posture. ## Related Videos - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) - [This App Reached 10,000 Users in One Week. 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