AI 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.

• Design and implement security controls for Generative AI systems, including LLM-based applications, RAG pipelines, and agent-driven workflows.
• Identify and mitigate AI-specific threats such as prompt injection, data exfiltration, insecure tool usage, and model abuse.
• Establish guardrails for prompt handling, input/output validation, and safe tool invocation to ensure secure agent behavior.
• Secure Retrieval-Augmented Generation (RAG) pipelines by enforcing data access controls, source integrity, and retrieval boundary protections.
• Define and enforce model access controls, API protections, and runtime monitoring to prevent misuse and unauthorized access.
• Partner with AI platform and infrastructure teams to integrate security into model deployment pipelines and inference services.
• Conduct threat modeling and security assessments for AI systems, including model lifecycle, data pipelines, and inference endpoints.
• Build automated detection and response mechanisms for AI-specific risks, including anomalous queries and unsafe outputs.

Minimum Qualifications

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