GenAI Chemical, Biological, Radiological, Nuclear, and Explosives Cyber Security Expert

Key Responsibilities: Run rigorous red‑teaming of GenAI models across SCADA, IC… scenarios. You will be probing for safeguard bypasses, dangerous capability escalation, and unintended disclosure of sensitive OT information. Design adversarial prompts, jailbreaks, and multi‑turn evaluations against industrial hacking scenarios (SCADA, PLCs, DCS, Modbus/DNP3/IEC 60870‑5‑104/Ethernet‑IP, critical infrastructure, hazardous‑material facilities). Evaluate whether models can be manipulated into assisting attacks via payload generation, ladder logic exploitation, reconnaissance, or aggregating benign inputs into high‑risk workflows. Document failure modes (obfuscation, role‑play, decomposition, escalation), classify severity, and report findings to safety/alignment teams. Build repeatable test suites, adversarial datasets, and risk taxonomies; stay current on GenAI attack techniques and CBRNE/critical‑infrastructure threats. RequirementsRequirements Must be US-based and authorized to work (excluding IL, TX) Advanced degree in Cybersecurity, CS, Engineering, Security Studies, CBRNE sciences, or related field - or equivalent professional/military/government experience Deep industrial cybersecurity expertise: SCADA, IC… OT, industrial protocols (Modbus, DNP3, Ethernet/IP, Profinet), PLCs, cyber‑physical attack chains Strong CBRNE knowledge, especially its intersection with cyber/digital systems Red‑team experience: penetration testing, adversarial simulation, vulnerability research, or offensive security GenAI red‑teaming experience or aptitude: adversarial prompts, jailbreak research, multi‑turn testing, LLM safety evaluation Practical SCADA/OT hacking exposure: vulnerability research, protocol fuzzing, network architecture analysis Adversarial mindset for identifying safeguard circumvention via decomposition, obfuscation, or multi‑turn manipulation Strong technical writing for documenting methodology, findings, and mitigations

Preferred Qualifications: Hands‑on LLM red‑teaming, AI safety evals, or jailbreak/prompt research Experience building red‑team test cases, datasets, benchmarks, or evaluation pipelines Familiarity with frontier AI safety concepts, dangerous‑capability evals, and responsible scaling frameworks Background in offensive security, threat intel, incident response, or adversary emulation Familiarity with MITRE ATT&CK (incl. IC… ), NIST frameworks, IEC 62443 Experience in national security, defense, intelligence, or high‑consequence industrial environments Relevant offensive‑security or IC…/OT certifications Deep expertise in one or more: GenAI cyber red‑teaming; SCADA/ICS/OT red‑teaming; chemical/industrial cyber risk; biological/lab cyber risk; radiological/nuclear cyber risk; or cyber‑physical/high‑consequence threat analysis The salary range for this role in the US is $150K - $178K - Range may vary based on experience. Salary at the time of offer will be commensurate with experience. About AliceAlice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end‑to‑end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre‑deployment red‑teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward‑thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms.

THE CHALLENGE: S ALONG THE WAY1. Being Both Strategist and ExecutionerOne of the hardest parts of this role is that you’re both the visionary and the builder; the one drawing the mapandpaving the road. That means switching between high‑level strategy and hands‑on experimentation daily, and doing it while bringing others along with you. There’s no playbook for this kind of work. You’re paving an unpaved road, one small experiment at a time.