Market Coverage · SecurAI Talent
AI security market coverage
Two halves, one discipline. We recruit across everything that secures artificial intelligence, and everything that uses artificial intelligence to secure the enterprise. As threat actors weaponise AI to sharpen attacks and target corporate models, these two tracks are converging into a single market.
Track A: securing AI
Protecting models, training pipelines, agents and the infrastructure underneath them.
AI safety and trust engineering
Alignment, safety and responsible deployment. Guardrail engineers and responsible-AI leaders building the safety layer on production language models.
- AI Safety Engineer
- AI Trust and Safety Engineer
- Model Safety Researcher
- LLM Alignment Specialist
- Content Moderation ML Engineer
- Responsible AI Lead
- AI Ethics and Safety Director
AI red teaming and adversarial ML
Attacking models to find weaknesses before adversaries do.
- AI Red Team Engineer
- Adversarial ML Researcher
- Prompt Injection Specialist
- Model Jailbreak Analyst
- AI Penetration Tester
- Data Poisoning Researcher
- Model Evasion and Bypass Specialist
ML and AI infrastructure security
Securing training pipelines, compute clusters, model registries and inference APIs.
- MLSecOps Engineer
- AI Supply Chain Security Engineer
- Model Registry Security Specialist
- LLM API Security Engineer
- Training Infrastructure Security Engineer
- AI Model Integrity Engineer
- GPU and Compute Security Specialist
AI governance, risk and compliance
Work anchored to the EU AI Act, the NIST AI Risk Management Framework and ISO/IEC 42001.
- AI Risk Manager
- AI Compliance Officer
- AI Governance Consultant
- AI Auditor
- AI Policy Advisor
- Algorithmic Accountability Lead
- AI Privacy and Data Ethics Counsel
- Chief AI Risk Officer
Track B: AI for security
Applying machine learning and autonomous systems to detection, response and offensive security.
AI SOC and threat detection
Building the AI-native security operations centre.
- AI SOC Engineer
- AI-Driven Threat Detection Engineer
- Security AI/ML Engineer
- Behavioural Analytics Engineer
- SIEM ML Integration Specialist
- AI Triage and Alert Analyst
- Security Copilot Developer
Cyber security data science and research
Core machine learning research applied to security problems.
- Security Data Scientist
- Threat Intelligence ML Researcher
- Malware Classification Researcher
- Network Anomaly Detection Scientist
- NLP Security Researcher
- Graph ML Security Researcher
- AI-Powered Vulnerability Researcher
Automated incident response and SOAR
AI-led response, playbook automation and orchestration.
- AI Incident Response Engineer
- Security Automation Engineer
- Agentic Security Systems Developer
- LLM Security Orchestration Engineer
- Cyber AI Product Manager
AI-augmented offensive security
Penetration testing, bug bounty and threat emulation with AI in the loop.
- AI-Assisted Penetration Tester
- AI Exploit Developer
- Autonomous Threat Emulation Engineer
- AI-Powered Bug Bounty Hunter
- AI Fuzzing Engineer
Security leadership
Cross-cutting mandates for the people accountable for AI risk end to end.
- CISO at AI-native companies
- Head of AI Security
- VP of AI Trust and Safety
- Head of AI Risk
- Director of AI Security
- Chief AI Risk Officer
Geographies
We run searches across the United States, the United Kingdom, France, Germany, the Netherlands, the Nordics and wider Europe, plus the United Arab Emirates and Saudi Arabia. The desk is remote and global rather than branch-based, which means no off-limits restrictions inherited from a parent group and access to the whole market on every mandate.