Job Description

Date Posted:

13 January, 2026

Industry:

IT Services and IT Consulting

Location:

VAPORVM IT SERVICES DMCC

:

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AI Red Teamer: (1ppl.)

Position Overview:

We are seeking a highly skilled and detail-oriented AI Red Teamer to join our

organization. As an AI Red Teamer, you will play a critical role in assessing,

testing, and improving the security, reliability, and ethical integrity of AI

systems. You will be responsible for identifying vulnerabilities, weaknesses,

and potential risks in AI models and systems, ensuring they meet the highest

standards of performance and security.

Key Responsibilities:

AI System

Vulnerability Assessment:

+ Conduct thorough
security assessments of AI models, algorithms, and systems to identify

vulnerabilities, biases, and risks.
+ Simulate adversarial

attacks to test the robustness and resilience of AI systems.

Adversarial Testing:

+ Design and execute
adversarial scenarios to evaluate how AI systems respond to malicious

inputs or attempts to manipulate their behavior.
+ Develop adversarial

examples to test the limits of AI models and identify areas for

improvement.

Risk Analysis and

Mitigation:

+ Analyze risks
associated with AI systems, including ethical concerns, data privacy, and

potential misuse.
+ Provide

recommendations for mitigating identified risks and improving system

security.

Collaboration with

Development Teams:

+ Work closely with AI
developers, data scientists, and engineers to share findings and

implement improvements.
+ Assist in the

development of secure and robust AI systems by providing actionable

feedback.

Compliance and Ethical

Standards:

+ Ensure AI systems
comply with relevant regulations, standards, and ethical guidelines.
+ Identify and address

biases in AI models to promote fairness and inclusivity.

Documentation and

Reporting:

+ Prepare detailed
reports on findings, vulnerabilities, and recommendations for

stakeholders.
+ Maintain

documentation of testing methodologies and results for future reference.

Continuous Learning

and Research:

+ Stay updated on the
latest advancements in AI security, adversarial techniques, and ethical

AI practices.
+ Research emerging

threats and develop innovative strategies to counteract them.

Qualifications:

Bachelor's or Master's
degree in Computer Science, Artificial Intelligence, Cybersecurity, or a

related field.
Proven experience in
AI security, adversarial testing, or ethical AI development.
Strong understanding
of machine learning algorithms, neural networks, and AI frameworks.
Knowledge of
cybersecurity principles and practices, including penetration testing and

vulnerability assessment.
Proficiency in
programming languages such as Python, R, or Java.
Familiarity with tools
and libraries for adversarial testing (e.g., Foolbox, CleverHans, ART).
Excellent
problem-solving skills and attention to detail.
Strong communication
skills to effectively convey findings and recommendations.

Preferred Skills:

Experience with large
language models (LLMs) and generative AI systems.
Knowledge of data
privacy regulations and ethical AI guidelines.
Certifications in
cybersecurity or AI-related fields (e.g., CEH, CISSP, TensorFlow

Developer).