Job Description & How to Apply Below
Director – Cybersecurity & AI
Role Overview
We are seeking a Director – Cybersecurity & AI to lead enterprise-wide strategy, architecture, and execution for securing AI/GenAI platforms, data, and applications. This role sits at the intersection of cybersecurity, AI/ML, and cloud , driving secure adoption of AI technologies while strengthening overall security posture.
The Director will partner with engineering, data science, product, risk, and executive leadership to ensure all AI initiatives are secure, compliant, and resilient against evolving threats .
Key Responsibilities
1. Strategy & Leadership
Define and execute enterprise Cyber + AI Security strategy and roadmap
Lead AI security governance, risk, and compliance frameworks
Align security initiatives with business, regulatory, and responsible AI goals
Build and lead high-performing teams across AI security, cloud security, and App Sec
Partner with CISO, CTO, and AI leadership to embed Secure-by-Design principles
Cybersecurity directors typically lead enterprise-wide security programs including risk, compliance, and architecture aligned with business strategy
2. AI / GenAI Security Architecture
Define secure architectures for:
LLM / GenAI platforms (RAG, agents, copilots)
AI data pipelines & model lifecycle
AI-powered applications and APIs
Establish controls for:
Prompt injection, data leakage, model abuse
Model integrity, privacy, and adversarial attacks
Drive identity, access, and least-privilege controls for AI systems
Highlight threat modeling for AI risks like prompt injection, model abuse, and data leakage
3. Secure AI Development & Dev Sec Ops
Embed security into AI/ML lifecycle (MLSecOps / Dev Sec Ops )
Define standards for:
Secure coding for AI systems
Model validation and monitoring
AI observability and auditability
Integrate security into CI/CD pipelines and AI platforms
4. Threat Intelligence & Incident Response (AI-first)
Build capabilities for AI-aware threat detection and response
Lead security operations for:
AI-enabled cyber threats
Advanced malware, deepfakes, and automated attacks
Establish AI SOC / AI threat monitoring frameworks
AI is increasingly used to automate threat detection and incident response, requiring advanced monitoring and response capabilities
5. Risk, Compliance & Governance
Drive compliance with:
ISO 27001, NIST, SOC2, GDPR, emerging AI regulations
Implement AI risk management frameworks (e.g., NIST AI RMF)
Ensure ethical AI practices, explainability, and accountability
Lead third-party and vendor AI risk assessments
6. Cross-Functional & Executive Influence
Partner with:
Data Science, Engineering, Product, Legal, Risk
Act as a trusted advisor to executive leadership
Drive enterprise-wide security culture and awareness
Required Qualifications
Experience
15+ years in Cybersecurity / Information Security
5+ years in leadership roles (Director / Sr Leader)
Strong exposure to AI/ML systems, GenAI, or data platforms
Technical Expertise
Cybersecurity domains:
App Sec, Cloud Security, IAM, Threat Detection, SOC
AI/ML domains:
LLMs, GenAI, ML pipelines, RAG architectures
Security tools:
SIEM, SOAR, SAST/DAST, Cloud security platforms
Knowledge of AI threats:
Adversarial ML, prompt injection, model poisoning
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