AI Security Engineer

Norton Blake; Abu Dhabi; Presencial; AED 300.000 - 520.000; Jornada completa

Descripción de la vacante

Norton Blake Limited seeks a Senior AI Security Engineer to secure enterprise AI platforms, LLMs, and autonomous AI agents in a hands-on engineering role in Abu Dhabi. You will own adversarial testing, guardrails development, and CI/CD security integration.

The ideal candidate has 6+ years in security engineering or related fields, with 1–2 years focusing on securing LLMs and AI agents. Experience with Azure and cloud security is preferred.

Formación

• 6+ years in Security Engineering, Application Security or Penetration Testing.
• 1–2 years hands-on with securing or red-teaming LLMs or agentic AI.
• Strong Python programming for security automation and testing tools.
• Experience with prompt injection, jailbreak testing and AI vulnerabilities.
• Knowledge of LLM architectures, RAG, AI agents and tool calls.
• Cloud security in Azure, AWS or GCP; familiarity with CI/CD security automation.

Responsabilidades

• AI Red Teaming: adversarial testing of LLMs and AI agents for prompt injection and data exfiltration risks.
• Security Engineering: design and test AI security guardrails, input/output filtering and access controls.
• Python Development: build automated AI security testing frameworks and evaluation harnesses.
• Agentic AI Security: secure AI agents, RAG apps, vector databases and tool integrations.
• DevSecOps: integrate AI security testing into CI/CD pipelines.
• Threat Detection: develop AI-specific monitoring and response capabilities.
• Cloud Security: help secure cloud-based AI infrastructure, with Azure emphasis.

Conocimientos

Security engineering

Python

Adversarial testing

LLM/AI security

Cloud security

CI/CD / DevSecOps

Threat modeling

Herramientas

PyRIT

Garak

promptfoo

Descripción del empleo

Senior AI Security Engineer | AI Red Teaming / LLM Security

Contract role – Min 6months initially, but very likely extended long term

Start – ASAP, but can wait a notice of up to 30 days

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.

What you'll be doing

• 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.
• DevSecOps: 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.

What we're looking for

• 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 DevSecOps, CI/CD pipelines and security automation.

Particularly interesting experience

• 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.