As Lead AI Cyber Security Engineer, you will own the end-to-end security posture of the AI layer. You’ll engineer guardrails, red-team live agents, design zero-trust controls, and defend our architecture directly to the client’s CISO and regional regulators (CBUAE).
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Key Responsibilities
- AI & LLM Security: Engineer prompt injection defenses, output schema validation, jailbreak resistance, and deterministic guardrails around tool execution.
- Red Teaming & Threat Modelling: Lead adversarial testing (indirect prompt injection, tool abuse, context exfiltration) and automate attack suites into CI/CD pipelines.
- Zero-Trust Architecture: Design secure AI-to-API communication (mTLS, OAuth 2.0/OIDC) to ensure AI reasoning can never touch core ledgers without explicit policy checks.
- Compliance & Auditability: Architect Model Risk Management (MRM) controls, CBUAE compliance mechanisms, and tamper-evident audit trails for every agent action.
- DevSecOps & Leadership: Enforce security gates in CI/CD, conduct pod-level design reviews, and present security postures to executive client stakeholders.
Requirements
- 8+ years of hands-on Security Engineering experience (Zero-Trust, API security, DevSecOps, Cloud/K8s security).
- 2+ years securing LLM or agentic systems in production.
- Hands-on Red Teaming: Strong practical experience with OWASP Top 10 for LLMs, jailbreaks, and guardrail engineering.
- Fintech / Banking Background: Experience with PCI-DSS, transactional logging, and banking regulatory frameworks (CBUAE/DFSA preferred).
- Technical Degree: Computer Science, Cyber Security, or equivalent. Relevant certs (CISSP, CCSP, OSCP) or published AI security research are a plus.
Work Conditions
This job can be filled in Dubai/UAE.
