We are looking for a strong Cybersecurity Specialist with hands-on AI Security experience strong to assess and secure enterprise AI solutions LLM applications and agentic AI integrations This role focuses on security risk assessments architecture reviews threat modelling and security testing across AI platforms and cloud environments You will work closely with AI engineering cloud governance and security teams to ensure AI solutions are secure compliant and ready for production
strong Key Responsibilities strong
- Conduct cybersecurity risk assessments for AI ML solutions LLM applications agentic AI systems and third-party AI integrations
- Perform security architecture reviews threat modelling and design assessments across AI applications APIs data flows and cloud environments
- Identify and test AI-specific vulnerabilities including prompt injection jailbreaks sensitive data leakage excessive agency and insecure integrations
- Assess agentic AI and Model Context Protocol MCP integrations including identity permissions tool execution sandboxing and human approval controls
- Validate security controls for data protection encryption identity and access management secrets management network security and API protection
- Assess RAG architectures vector databases AI connectors model integrity and AI supply-chain risks
- Support AI security monitoring incident investigations and the identification of unauthorized AI usage
- Track vulnerabilities and remediation activities document findings and provide actionable security recommendations
- Ensure AI solutions meet applicable UAE cybersecurity policies and data protection requirements
Requirements:
- * Bachelor s degree in Cybersecurity, Computer Science, IT, Engineering, or a related field.
- * At least 5 years of cybersecurity engineering experience, ideally in cloud security, application security, or data security.
- * Practical exposure to AI/ML, LLM security, or agentic AI platforms, including enterprise AI integrations.
- * Strong understanding of AI security threats, threat modelling, risk assessments, architecture reviews, and security testing.
- * Hands-on knowledge of Azure security services, Azure AI, RBAC, managed identities, APIs, encryption, and secrets management.
- * Familiarity with OWASP LLM security guidance and AI-specific vulnerabilities.
- * Scripting skills in Python, PowerShell, or similar languages, with exposure to automated security testing or CI/CD security controls.
- * Strong analytical, documentation, and stakeholder communication skills.
Preferred Qualifications:
- * Microsoft security and AI certifications such as SC-100, AZ-500, or AI-102, or equivalent credentials.
- * CISSP, CCSP, CISM, or relevant AI/ML security training.
- * Experience assessing AI proof-of-concepts (PoCs), production AI integrations, and agentic AI workflows.
- * Knowledge of UAE cybersecurity and data protection requirements.