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Requirements:
Requirements:
12+ years of relevant industry experience in cybersecurity, ML security, or related fields
Extensive leadership experience managing and scaling security or R&D organizations, with a strong track record of building high-performance teams and driving complex projects to completion.
Deep expertise in cybersecurity and AI proven understanding of AI threats, adversarial Machine Learning, LLM vulnerabilities, and AI safety frameworks (OWASP Top 10 for LLMs, NIST AI Risk Management Framework, etc.).
Strategic mindset and execution skills, with the ability to set vision and direction for AI security initiatives and also dive into technical details when needed.
Demonstrated thought leadership in AI security by publishing research, speaking at industry events or contributing to AI security standards and open-source projects.
Experience building or deploying AI security products and tools, such as red teaming automation platforms, guardrail frameworks, or AI monitoring and anomaly detection systems.
Hands-on familiarity with agentic AI frameworks and protocols and cloud-based AI environments, showing you understand how to secure complex AI orchestration workflow
A background in AI or adversarial ML research, with insight into emerging threats and mitigation techniques for GenAI applications.

Requirements:
Requirements:
2 years of proven experience in malware research / reverse engineering
Proven experience with static and dynamic analysis
Experience with runtime instrumentation tools such as Frida
Proficiency in C / C ++
Experience with assembly language - an advantage.

Requirements:
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. The objective is to identify vulnerabilities, assess risks, and deliver actionable insights that strengthen AI models and guardrails against potential threats. 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. Requirements:
Proven track record in AI vulnerability analysis.
Strong understanding of AI technologies and underlying architectures, especially generative models and frameworks.
At least 5 years of experience in offensive cybersecurity, with a focus on cloud and API security.
Familiarity with agentic frameworks and hands-on experience in agentic development.
Proficiency in Python.
Exceptional analytical, problem-solving, and communication skills.
Ability to thrive in a fast-paced, dynamic environment.
Bachelors or Masters 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).
Certifications or background in DevOps /ML domains.