AI Security Engineer

We're looking for a highly technical Senior AI Security Engineer to join a major banking organisation in Abu Dhabi, helping to secure enterprise AI platforms, Large Language Models (LLMs) and autonomous AI agents.

This is a genuinely hands-on engineering role
, ideal for someone with a strong background in offensive security, application security or penetration testing who has moved into AI/LLM security.

You'll be responsible for identifying vulnerabilities in AI systems, developing and testing security guardrails, and building automated capabilities to protect AI applications and agents.

• AI Red Teaming: Conduct adversarial testing of LLMs and AI agents, identifying prompt injection vulnerabilities, jailbreaks, unsafe tool execution and data exfiltration risks.
• Security Engineering: Design, implement and test AI security guardrails, including input/output filtering, injection detection and agent access controls.
• Python Development: Build automated AI security testing frameworks, attack libraries and evaluation harnesses.
• Agentic AI Security: Secure AI agents, RAG applications, vector databases, API integrations and MCP-style tool connections.
• Dev Sec Ops : Integrate AI security testing into CI/CD pipelines to identify vulnerabilities before production deployment.
• Threat Detection: Develop AI-specific monitoring, detection rules and security response capabilities.
• Cloud Security: Help secure cloud-based AI infrastructure, with a preference for Microsoft Azure.

• 6+ years' experience in Security Engineering, Application Security, Offensive Security or Penetration Testing.
• At least 1–2 years' hands-on experience securing or red-teaming LLMs, Generative AI or agentic applications.
• Strong Python programming skills, including developing security automation and testing tools.
• Practical experience with prompt injection, jailbreak testing, AI vulnerabilities and adversarial testing.
• Understanding of LLM architectures, RAG, AI agents, vector databases and tool/function calling.
• Knowledge of OWASP Top 10 for LLM Applications and MITRE ATLAS.
• Cloud security experience across Azure, AWS or GCP.
• Experience with Dev Sec Ops , CI/CD pipelines and security automation.

• AI red-teaming tools such as PyRIT, Garak or promptfoo.
• Offensive security research, bug bounties or penetration testing.
• Building AI security guardrails or securing autonomous AI agents.
• Financial services or other highly regulated environments.