Alice (Formerly ActiveFence)

Lead adversarial testing and evaluation of GenAI systems against cyber-CBRNE threats to identify vulnerabilities and improve safety safeguards. | Advanced cybersecurity expertise, CBRNE domain knowledge, red teaming experience, and strong communication skills are required, with preference for hands-on GenAI red teaming and critical infrastructure security experience. | As a GenAI CBRNE Cyber Red Team Expert, you will play a critical role in adversarially testing and strengthening the safety guardrails of GenAI systems against high-risk cyber threats involving CBRNE domains. You will combine deep cybersecurity expertise with CBRNE domain knowledge and hands-on AI red-teaming to design sophisticated adversarial prompts, multi-turn attack scenarios, jailbreaks, and model evaluations. Your work will identify circumstances in which GenAI systems could inadvertently provide information or capabilities that materially enable cyber-enabled CBRNE threats. The role requires an adversarial mindset: thinking creatively about how malicious actors could manipulate AI systems, combine seemingly benign information across multiple interactions, circumvent safeguards, or exploit model behavior to obtain sensitive cyber-CBRNE information. Key Responsibilities • Execute rigorous adversarial red-teaming of Generative AI models across cyber-CBRNE threat scenarios, systematically probing models for vulnerabilities, safeguard bypasses, dangerous capability escalation, and unintended disclosure of sensitive operational information. • Design and execute adversarial prompts, jailbreaks, prompt mutations, multi-turn conversations, and scenario-based evaluations that test whether model safeguards remain effective against sophisticated or obfuscated cyber-CBRNE requests. • Develop realistic cyber-CBRNE attack scenarios involving critical infrastructure, industrial control systems, operational technology, cyber-physical systems, laboratory environments, hazardous-material facilities, and other high-consequence systems. • Evaluate whether models can be manipulated into materially assisting threat actors through attack planning, vulnerability analysis, target-specific reasoning, operational troubleshooting, or the aggregation of individually benign information into higher-risk workflows. • Identify and document failure modes and attack patterns, including indirect requests, role-playing, encoded or obfuscated prompts, terminology substitution, decomposition of harmful objectives into benign-looking subtasks, and multi-turn escalation. • Conduct systematic taxonomy audits and safety evaluations, classify model failures by severity and exploitability, reproduce findings, and provide actionable recommendations to AI safety and model-alignment teams. • Develop repeatable red-team test suites, adversarial datasets, evaluation rubrics, and risk taxonomies for measuring model resilience against emerging cyber-CBRNE threats. • Maintain current knowledge of emerging GenAI attack techniques, AI safety research, cyber threat intelligence, CBRNE security risks, and cybersecurity threats affecting critical infrastructure and high-consequence environments. Requirements: Requirements • Location: Must be located in and authorized to work within the United States (excluding Illinois and Texas) or United Kingdom. • Education: Advanced degree in Cybersecurity, Computer Science, Engineering, Security Studies, CBRNE-related sciences, or a closely related technical field. Equivalent advanced professional, military, intelligence, government, or industry experience may be considered. • Cybersecurity Expertise: Deep understanding of cybersecurity concepts, adversarial techniques, vulnerability analysis, attack chains, threat modeling, and defensive security. • CBRNE Knowledge: Strong understanding of security and risk considerations associated with Chemical, Biological, Radiological, Nuclear, and/or Explosive environments, particularly their intersection with cyber and digital systems. • Red Team Expertise: Demonstrated experience with red teaming, penetration testing, adversarial simulation, vulnerability research, security testing, threat emulation, or comparable offensive-security methodologies. • GenAI Red Teaming: Experience or demonstrated aptitude in adversarial prompt generation, jailbreak research, prompt mutation, multi-turn testing, model behavior analysis, and evaluation of LLM safety controls. • ICS/OT Knowledge: Familiarity with industrial control systems, SCADA, operational technology, cyber-physical systems, or critical-infrastructure environments. • Adversarial Mindset: Ability to think creatively about how sophisticated users could circumvent model safeguards through decomposition, obfuscation, contextual manipulation, multi-turn interactions, or combinations of otherwise permissible information. • Communication: Strong technical writing skills with the ability to clearly document prompts, attack methodology, model responses, vulnerabilities, reproduction steps, severity assessments, and recommended mitigations. Preferred Qualifications • Hands-on experience with LLM red teaming, AI safety evaluations, jailbreak research, prompt engineering, adversarial prompt writing, or model vulnerability research. • Experience developing red-team test cases, adversarial datasets, model evaluation benchmarks, attack taxonomies, or automated LLM evaluation pipelines. • Familiarity with frontier AI safety concepts, dangerous-capability evaluations, responsible scaling frameworks, model safeguards, and emerging GenAI security standards. • Professional experience in offensive security, penetration testing, vulnerability research, cyber threat intelligence, incident response, or adversary emulation. • Familiarity with MITRE ATT&CK, MITRE ATT&CK for ICS, NIST cybersecurity frameworks, IEC 62443, and other critical-infrastructure cybersecurity standards. • Experience working in national security, defense, intelligence, government laboratories, critical infrastructure, CBRNE security, or high-consequence industrial environments. • Relevant offensive-security, ICS/OT security, or cybersecurity certifications are advantageous. • Expertise in one or more of the following red-team areas: • GenAI Cyber Red Teaming: Adversarial testing of LLMs for cyber capabilities, including attempts to circumvent safeguards through prompt manipulation, decomposition, multi-turn interactions, and other adversarial techniques. • ICS/OT Red Teaming: Security assessment and adversarial testing involving industrial control systems, SCADA, operational technology, cyber-physical systems, and critical infrastructure. • Chemical & Industrial Cyber Risk: Understanding of cyber threats affecting chemical facilities, hazardous-material environments, industrial processes, process-control environments, and associated safety systems. • Biological & Laboratory Cyber Risk: Understanding of cyber and information-security risks affecting laboratories, biotechnology environments, research infrastructure, laboratory automation, and associated digital systems. • Radiological & Nuclear Cyber Risk: Understanding of cybersecurity risks and safeguards associated with nuclear or radiological facilities, monitoring systems, control environments, and supporting infrastructure. • Cyber-Physical & High-Consequence Threats: Expertise in analyzing scenarios where compromise of digital systems could produce significant physical, safety, environmental, or CBRNE consequences. The salary range for this role is $150K - $178K - Range may vary based on experience. Salary at the time of offer will be commensurate with experience.