What We Are Looking For As a VP of AI Security Research you will lead, scale, and inspire multi-disciplinary teams focused on red teaming, sandboxing, adversarial testing, developing red-teaming engines, and guardrail protections for GenAI models and agentic AI systems. In this high-profile role, you will work closely with security research, product, engineering, and compliance teams to shape and deliver the next generation of AI cybersecurity solutions, while combining strategic vision with execution to effectively safeguard LLMs and agentic AI deployments at scale. Key Responsibilities
* Building and scaling global AI security teams, while providing mentorship to senior managers and fostering an innovation-driven security culture.
* Overseeing advanced adversarial evaluations for GenAI models, agentic AI, and multi-agent (A2A) systems, and delivering executive-level threat intelligence and risk assessments to inform corporate AI strategy.
* Defining and implementing AI red-teaming frameworks aligned with OWASP AI Security guidelines, MITRE ATLAS, and NIST AI RMF, and operationalizing automated red-team engines to continuously stress- TEST models at scale.
* Partnering with product and engineering to design and deploy enterprise-ready AI guardrails, including policy enforcement layers, monitoring pipelines, and anomaly detection systems and championing secure deployment practices for GenAI (including agent orchestration via MCP and A2A workflows).
About ActiveFence:
ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the worlds largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.
Hybrid:
Yes
* Building and scaling global AI security teams, while providing mentorship to senior managers and fostering an innovation-driven security culture.
* Overseeing advanced adversarial evaluations for GenAI models, agentic AI, and multi-agent (A2A) systems, and delivering executive-level threat intelligence and risk assessments to inform corporate AI strategy.
* Defining and implementing AI red-teaming frameworks aligned with OWASP AI Security guidelines, MITRE ATLAS, and NIST AI RMF, and operationalizing automated red-team engines to continuously stress- TEST models at scale.
* Partnering with product and engineering to design and deploy enterprise-ready AI guardrails, including policy enforcement layers, monitoring pipelines, and anomaly detection systems and championing secure deployment practices for GenAI (including agent orchestration via MCP and A2A workflows).
About ActiveFence:
ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the worlds largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.
Hybrid:
Yes
Requirements:
Must-Have
* 12+ years of relevant industry experience in cybersecurity, Machine Learning security, or related fields (with a focus on enterprise-scale products and AI systems).
* 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.
Nice-to-Have:
* Demonstrated thought leadership in AI security by publishing research, speaking at industry events (Black Hat, DEF CON, OWASP Global AppSec), 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 (e.g. LangChain, AutoGen, MCP, A2A) and cloud-based AI environments, showing you understand how to secure complex AI orchestration workflows.
* A background in AI trust and safety or adversarial ML research, with insight into emerging threats and mitigation techniques for GenAI applications.
Must-Have
* 12+ years of relevant industry experience in cybersecurity, Machine Learning security, or related fields (with a focus on enterprise-scale products and AI systems).
* 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.
Nice-to-Have:
* Demonstrated thought leadership in AI security by publishing research, speaking at industry events (Black Hat, DEF CON, OWASP Global AppSec), 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 (e.g. LangChain, AutoGen, MCP, A2A) and cloud-based AI environments, showing you understand how to secure complex AI orchestration workflows.
* A background in AI trust and safety or adversarial ML research, with insight into emerging threats and mitigation techniques for GenAI applications.
This position is open to all candidates.
