Computer Security Specialist

2 weeks ago


Oxford Oxfordshire, United Kingdom ActiveFence Full time

What We Are Looking For As a Red Team Specialist focused on GenAI models, you will play a critical role in safeguarding the security and integrity of commercial cutting-edge AI technologies. Your primary responsibility will be to analyze and test commercial GenAI systems including, but not limited to, language models, image generation models, and related infrastructure. The objective is to identify vulnerabilities, assess risks, and deliver actionable insights that strengthen AI models and guardrails against potential threats.


Key Responsibilities
Execute sophisticated and comprehensive attacks on generative foundational models and agentic frameworks.
Assess the security posture of AI models and infrastructure, identifying weaknesses and potential threats.
Collaborate with security teams to design and implement effective risk mitigation strategies that enhance model resilience.
Apply innovative testing methodologies to ensure state-of-the-art security practices.
Document all red team activities, findings, and recommendations with precision and clarity.

Must-Have
Proven track record in AI vulnerability analysis.
Strong understanding of AI technologies and underlying architectures, especially generative models and frameworks.
Minimum of 3 years of experience in offensive cybersecurity, with a focus on penetration testing.
Familiarity with agentic frameworks and hands-on experience in agentic development.
Exceptional analytical, problem-solving, and communication skills.
Ability to thrive in a fast-paced, dynamic environment.

Nice-to-Have
Bachelor’s or Master’s degree in Computer Science, Information Security, or a related field.
Demonstrated experience building production-quality pipelines and automations.
Hands-on experience with machine learning development frameworks and environments.
Advanced certifications in offensive cybersecurity (e.g., OSWE, OSCE3, SEC542, SEC522).
Proficiency in Python.
Webint / OSINT experience.



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