We are seeking a skilled AI Cybersecurity Red Team Expert in Dubai to assess the security, robustness, reliability, and safety of AI systems. This Indian National role focuses on identifying vulnerabilities, simulating adversarial attacks, conducting AI security assessments, and evaluating AI models against potential misuse and emerging threats.
About the Role – AI Security Assessment & Red Teaming
Core Focus: Security assessments of AI/ML models, algorithms, and AI-powered systems
Adversarial Testing: Adversarial attacks, adversarial examples, and malicious inputs
LLM Focus: AI red teaming, prompt injection, jailbreak, and model safety testing for LLMs and Generative AI
Risk Assessment: AI misuse, data privacy, model security, bias, fairness, and ethical AI
Tools: Foolbox, CleverHans, and Adversarial Robustness Toolbox (ART)
Career Growth & AI Security Impact
Strategic Location: Dubai – a growing hub for AI security and adversarial testing expertise
Cutting-Edge Domain: Work at the frontier of LLM safety, jailbreak testing, and adversarial prompting
Cross-Functional Impact: Collaborate with AI developers, data scientists, and cybersecurity teams
Career Growth: Build highly specialized, in-demand expertise in one of the fastest-growing cybersecurity disciplines
Position Overview
This AI Cybersecurity Red Team Expert role conducts security assessments of AI/ML models and algorithms to identify vulnerabilities and risks, designing and executing adversarial attacks and malicious inputs to evaluate model robustness. You will perform AI red teaming, prompt injection, jailbreak, and model safety testing for LLMs and Generative AI, assess risks related to AI misuse, data privacy, and ethical AI, identify attack vectors against security standards and regulations, collaborate with AI developers and cybersecurity teams to remediate vulnerabilities, and document testing methodologies and findings.
Why This Role Matters: As AI Cybersecurity Red Team Expert, you protect AI systems from misuse and adversarial exploitation by proactively finding vulnerabilities before bad actors do, apply cutting-edge adversarial testing techniques including prompt injection and jailbreak testing to real LLM and Generative AI systems, assess critical risks around AI misuse, data privacy, bias, and ethical AI that shape how organizations deploy AI responsibly, collaborate directly with AI developers and cybersecurity teams to remediate real vulnerabilities, and build genuinely cutting-edge expertise at the intersection of cybersecurity and artificial intelligence, one of the fastest-growing specializations in tech.
Key Responsibilities
AI Security Assessment
- Conduct security assessments of AI/ML models, algorithms, and AI-powered systems to identify vulnerabilities and risks
- Design and execute adversarial attacks, adversarial examples, and malicious inputs to evaluate model robustness
AI Red Teaming & LLM Safety Testing
- Perform AI red teaming, prompt injection, jailbreak, and model safety testing for LLMs and Generative AI systems
- Assess risks related to AI misuse, data privacy, model security, bias, fairness, and ethical AI
Risk Identification & Standards Compliance
- Identify potential attack vectors and evaluate AI systems against relevant security standards and regulations
Collaboration & Remediation
- Collaborate with AI developers, data scientists, cybersecurity teams, and engineers to remediate vulnerabilities
- Document testing methodologies, vulnerabilities, findings, risk levels, and recommended remediation actions
Research & Emerging Threats
- Research emerging AI security threats, attack techniques, and adversarial testing methodologies
Qualifications & Requirements
Educational Requirements
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Cybersecurity, or a related field
Experience Requirements
- Proven experience in AI security, AI red teaming, adversarial testing, or ethical AI
Technical Skills
- Strong understanding of machine learning algorithms, neural networks, and AI/ML frameworks
- Good knowledge of cybersecurity principles, penetration testing, and vulnerability assessment
- Strong proficiency in Python; knowledge of R or Java is an advantage
- Hands-on familiarity with tools such as Foolbox, CleverHans, and Adversarial Robustness Toolbox (ART)
Essential Skills
- Strong analytical, problem-solving, documentation, and communication skills
Preferred Skills
- Hands-on experience with Large Language Models (LLMs), Generative AI, and AI agents
- Practical experience in prompt injection, jailbreak testing, and adversarial prompting
- Knowledge of AI security frameworks, data privacy regulations, and responsible/ethical AI practices
- Relevant certifications such as CEH, CISSP, or AI/ML security certifications
About This AI Security Opportunity
This AI Cybersecurity Red Team Expert role sits within a growing AI security function in Dubai, focused on assessing and strengthening the safety, robustness, and reliability of AI systems. The position offers exposure to cutting-edge adversarial testing techniques and LLM safety evaluation, providing strong career growth for security professionals who want to specialize in the rapidly expanding field of AI security.
Career Excellence: Build highly specialized AI red teaming and adversarial security expertise in one of tech’s fastest-growing disciplines.
Who Should Apply?
- AI Red Team Specialists: With proven experience in adversarial testing and AI security
- LLM/Generative AI Security Engineers: Skilled in prompt injection and jailbreak testing
- Cybersecurity Professionals: With penetration testing and vulnerability assessment backgrounds
- Python-Proficient AI Engineers: Familiar with Foolbox, CleverHans, or ART frameworks
- CEH/CISSP Certified Professionals: Interested in specializing in AI/ML security
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