AI Security Engineer

Dicetek LLC; Abu Dhabi; On-site; AED 180,000 - 360,000; Full time

Job summary

Dicetek LLC seeks an experienced cybersecurity professional with hands-on expertise across cybersecurity domains including cloud, AI, and DevSecOps. The role emphasizes threat modelling, security architecture reviews, vulnerability assessments, and secure design for complex enterprise environments.

Preference for those with advanced qualifications and relevant certifications. Ideal candidates will have substantial hands-on experience securing Generative AI, ML systems, and emerging technologies,

Qualifications

• Bachelor's degree or higher in a relevant technical discipline.
• Postgraduate qualification preferred in cybersecurity/AI/ML.
• Certifications in cloud security or AI governance are preferred.

Skills

AI Security

Agentic AI

ML Security

Generative AI Security

Threat Modelling

Security Architecture

Vulnerability Assessments

Adversarial ML

Automation

Cloud Security

DevSecOps

Education

Bachelor's degree in Cybersecurity

Bachelor's degree in Information Security

Bachelor's degree in Computer Science

Postgraduate qualification in Cybersecurity

Postgraduate qualification in AI/ML

Tools

Microsoft Entra

Defender

Sentinel

Purview

Security Copilot

Azure OpenAI

MITRE ATLAS

OWASP Top 10s

Job description

Minimum Experience

At least 4 years of experience in cybersecurity, cloud security, application security, security engineering, DevSecOps or security operations, including hands-on experience securing Generative AI, machine-learning or other emerging technology solutions. Practical experience designing and implementing security controls in major cloud environments. Experience with threat modelling, security architecture reviews, vulnerability assessments and adversarial or red-team testing. Experience developing scripts, tools or automation and working with engineering teams in complex enterprise environments, preferably in financial services.

Minimum Qualifications

Bachelor's degree in Cybersecurity, Information Security, Computer Science, Computer Engineering, Software Engineering, Information Technology, Data Science, Artificial Intelligence, Machine Learning, or another relevant technical discipline.

Postgraduate qualification in Cybersecurity, Artificial Intelligence, Machine Learning, Computer Science, Software Engineering, or a related technical discipline is preferred.

Professional Qualifications

Relevant professional certifications in cloud security, security operations, AI security or AI governance are preferred. Examples include Microsoft SC-100, SC-200, SC-300, AI-102 and AZ-500; CISSP, CCSP, CSSLP, OSCP, relevant GIAC certifications (for example GPCS, GCSA, GMLE), ISO/IEC 42001 Lead Implementer or Lead Auditor, AI governance certifications such as AIGP, and CISA or CRISC.

Knowledge and Skills

AI, Agentic AI and ML Security

Agentic AI architectures, LLM and Generative AI security, ML security, prompt injection and jailbreak defences, guardrails, RAG security, MCP and tool-access security, adversarial machine learning, and AI supply chain security. Familiarity with MITRE ATLAS, the OWASP Top 10s.

Microsoft Security and Cloud

Microsoft Entra, Defender (XDR, Cloud, Identity), Sentinel (KQL, analytics rules), Purview (DLP, information protection, data governance), Security Copilot and agentic SOC capabilities, Azure AI Foundry and Azure OpenAI security.

AI-driven Cybersecurity

Developing AI solutions for defensive and offensive security engineering (e.g., detection engineering, threat intelligence, vulnerability management, red-teaming).

Governance and Risk

ISO/IEC 27090, ISO/IEC 42001, ISO/IEC 27001, NIST AI Risk Management Framework, and the ability to map technical controls to regulatory and policy requirements.

Skills

Generative AI Security

Cloud Security

DevSecOps