AI Security Engineer

Cisco

. Design and implement security controls for Generative AI systems, including LLM-based applications, RAG pipelines, and agent-driven workflows .

Posted 9/18/2026full-timeSan Jose • California • United StatesMid-LevelSenior💰 $128,600 - $184,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing security controls for Generative AI systems, with a strong focus on threat modeling, data protection, and securing distributed systems. Proficient in integrating security into model deployment pipelines and building automated detection mechanisms for AI-specific risks.

Highest-signal resume keywords

Application SecurityCloud SecuritySecurity Controls DesignThreat ModelingPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Security ControlsThreat MitigationData ProtectionAuthentication ImplementationAuthorization ImplementationKubernetes SecurityAPI SecurityMicroservices SecurityAutomated Detection MechanismsData Access Controls

Tools & Technologies

Generative AI SystemsLLM-Based ApplicationsRAG PipelinesDistributed SystemsCloud-Native Applications

Certifications & Qualifications

CISSPCCSPSSCPCISACISM

Industry Keywords

CybersecurityModel Access ControlsRuntime MonitoringData ExfiltrationPrompt Injection

Tech Stack

Tools & technologies

CloudCyber SecurityDistributed SystemsKubernetesMicroservicesPythonGo

About the role

Key responsibilities & impact

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
Secure RAG pipelines through data access controls, source integrity, and retrieval boundary protections
Define and enforce model access controls, API protections, and runtime monitoring
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, model lifecycles, data pipelines, and inference endpoints
Build automated detection and response mechanisms for AI-specific risks, including anomalous queries and unsafe outputs

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Cybersecurity related field or equivalent certifications along with work experience
3+ years of experience in application security, cloud security, or platform security engineering
Hands-on experience securing distributed systems or cloud-native applications, including Kubernetes, APIs, and microservices
Experience designing and implementing authentication, authorization, and data protection controls
Strong programming/scripting skills in Python, Go, or similar
Cybersecurity background and operational experience preferred
ISC2 certifications such as CISSP or CCSP preferred
ISACA certifications such as SSCP, CC, CISA, or CISM preferred

Benefits

Comp & perks

Medical, dental and vision insurance
401(k) plan with a Cisco matching contribution
Paid parental leave
Short- and long-term disability coverage
Basic life insurance
Cisco restricted stock unit grants may be available
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
Paid day off for employee’s birthday
Paid year-end holiday shutdown
4 paid days off for personal wellness
16 days of paid vacation per full calendar year for non-exempt employees
Flexible vacation time off program with no defined limit for eligible exempt employees
80 hours of sick time off provided on hire date and each January 1st
Up to 80 hours of unused sick time carried forward
Additional paid time away for critical or emergency family issues
Optional 10 paid volunteer days per full calendar year
Annual bonuses for non-sales roles, subject to Cisco’s policies
Performance-based incentive pay for sales-plan employees