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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in architecting and securing AI/ML-integrated systems, with a strong focus on threat modeling, secure software development lifecycles, and establishing scalable security standards. Proven ability to translate complex security requirements into actionable business outcomes while mentoring senior engineers.
Highest-signal resume keywords
AI Security Standard DefinitionThreat ModelingSecure Software Development Lifecycle (SDLC)Python ProgrammingCI/CD Automation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML SecurityThreat ModelingSecurity ToolingData PrivacyRisk QuantificationModel SecurityAgentic WorkflowsMulti-Agent OrchestrationSecurity CheckpointsEthical AI
Soft Skills
Technical GuidanceMentoringCollaborationCommunicationLeadership
Tools & Technologies
CI/CD PipelinesEvaluation HarnessesPolicy-as-CodeAutomated Security GatesNIST AI RMFISO/IEC 42001
Industry Keywords
AI SafetyGlobal Data Protection RegulationsRed-Teaming StrategySecurity PatternsIncident Criteria
Tech Stack
Tools & technologiesPythonSDLC
About the role
Key responsibilities & impact- Define and evolve Cisco’s AI Security Standard, including threat models, architecture patterns, and security requirements
- Establish security requirements for RAG hardening, tool-call governance, agent identity, bounded autonomy, approval flows, auditability, and human accountability
- Set standards for AI-assisted development, including provenance, human review, accountability, and automated SDLC/CI/CD security gates
- Lead secure AI architecture across Cisco platforms and conduct design reviews
- Codify reusable security patterns and define measurable release criteria
- Own abuse and adversarial case coverage, including data poisoning, model extraction, model inversion, membership inference, insecure output handling, and RAG compromise
- Manage model and data supply-chain provenance across models, datasets, plugins, fine-tuning data, and external APIs
- Advance red-teaming strategy, evaluation harnesses, and release checkpoints for AI capabilities
- Partner on post-deployment standards and incident criteria for AI-specific failure modes
- Advise senior engineering leadership across CX, Operations, and Product
- Align with product security, AI platform, SecOps, privacy, and legal teams
- Translate sophisticated security requirements into business outcomes
Requirements
What you’ll need- 12+ years of experience in software security
- Deep hands-on experience architecting and securing AI/ML-integrated systems
- Experience with Python, CI/CD automation, evaluation harnesses, agentic workflows, and security tooling
- Ability to secure AI models and applications, including LLM- and agentic-AI-related vulnerabilities such as prompt injection, excessive agency, and data leakage
- Knowledge of data privacy concerns
- Strong background in threat modeling, secure software development lifecycles (SDLC), and architecture validation for large-scale, multi-platform ecosystems
- Experience quantifying security risk and providing technical guidance across multiple teams or business units
- Ability to operate as a principal-level technical authority without direct reports
- Experience securing autonomous agents, tool-calling, multi-agent orchestration, and MCP-style integrations preferred
- Experience designing or running AI red-team/evaluation programs preferred
- Understanding of AI safety, ethical AI, and global data protection regulations preferred
- Familiarity with NIST AI RMF and ISO/IEC 42001 preferred
- Experience building scalable security standards or playbooks preferred
- Experience integrating security checkpoints into CI/CD pipelines, including policy-as-code and automated security gates preferred
- Track record of mentoring senior-level engineers 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, subject to continued employment and vesting periods
- 10 paid holidays per full calendar year
- 1 floating holiday for non-exempt employees
- 1 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 thereafter
- 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 may be available for non-sales roles
