AI Security Engineer

Cisco

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
NC
Salary
$128,600–$184,900 / yr
Posted
6 days ago
Freshness
Confirmed live yesterday
Closes
Oct 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k
This role $157k
$118k most similar roles pay here $231k

This role pays less than 67% of similar roles. Most pay $151,206–$208,800 — the shaded band above. At the midpoint, this role pays about $157k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 175 open roles on FindRole.

Listed pay typically runs $167,700–$245,200 across 175 roles with salary data.

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View all roles at Cisco

At a glance

TL;DR · AI Security Engineer

The AI Security Engineer joins the Enterprise AI team to build secure, scalable platforms for generative AI experiences. This role involves designing and implementing security controls for LLM-based applications, RAG pipelines, and agent-driven workflows while mitigating specific threats like prompt injection, data exfiltration, and model abuse. The engineer will establish guardrails for input/output validation, enforce data access controls, and develop automated detection mechanisms for anomalous queries. Key responsibilities include conducting threat modeling for the model lifecycle and integrating security into deployment pipelines. To succeed, candidates must possess experience in application, cloud, or platform security for distributed systems involving Kubernetes, APIs, and microservices. Required technical skills include proficiency in Python or Go for building automation tools, alongside expertise in authentication, authorization, and data protection controls within a complex infrastructure environment.

What you'll do

  • Design and implement security controls for LLM-based applications, RAG pipelines, and agent-driven workflows.
  • Identify and mitigate AI-specific threats such as prompt injection, data exfiltration, and model abuse.
  • Establish guardrails for prompt handling, input/output validation, and safe tool invocation.
  • Secure Retrieval-Augmented Generation (RAG) pipelines by enforcing data access controls and source integrity.
  • Define and enforce model access controls, API protections, and runtime monitoring to prevent unauthorized access.
  • Integrate security measures into model deployment pipelines and inference services in partnership with infrastructure teams.
  • Conduct threat modeling and security assessments for the entire AI system lifecycle and data pipelines.
  • Build automated detection and response mechanisms for anomalous queries and unsafe outputs.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Cybersecurity, or equivalent certifications with experience.
  • 3+ years of experience in application security, cloud security, or platform security engineering.
  • Hands-on experience securing distributed systems or cloud-native applications like Kubernetes, APIs, and microservices.
  • Experience designing and implementing authentication, authorization, and data protection controls.
  • Strong programming and scripting skills in Python, Go, or similar languages for building security tooling and automation.
  • Cybersecurity background and operational experience (preferred).
  • Certifications from ISC2 (e.g., CISSP, CCSP) or ISACA (e.g., SSCP, CC, CISA, CISM) (preferred).

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