AI Security Engineer (f/m/d)

About the role:

This role is about building, operating and continuously improving Clariness' security capabilities across applications, cloud infrastructure and AI systems. As our founding-level security hire, you will establish the security engineering function, define its priorities and work directly with engineering teams to embed effective security controls throughout our technology environment.

As an AI Security Engineer, you would be responsible for:

• Defining Clariness' security engineering strategy and roadmap, and building and operating the security function across application security, cloud security, AI and LLM security, vulnerability management and supporting security tooling.
• Working directly with engineering teams on secure system design, threat modelling, penetration testing and vulnerability remediation, while embedding appropriate security controls into development processes and CI/CD pipelines.
• Owning AI security and governance across LLM-powered features, RAG systems and agentic pipelines, including assessing and mitigating risks covered by the OWASP Top 10 for LLM Applications.
• Designing and validating safeguards for AI agents, including sandboxing, privilege and access controls, secure tool use and adversarial red teaming of AI systems.
• Evaluating, deploying and continuously improving AI-powered security automation, including autonomous vulnerability triage, LLM-powered alert analysis, compliance evidence gathering and AI-assisted threat intelligence.
• Assessing commercial and open-source security tools based on effectiveness, operational fit and cost, and developing custom solutions where existing tooling does not meet Clariness' requirements.
• Managing Clariness' IT security compliance programme—including SOC 2 Type II, applicable EU AI Act high-risk obligations, GDPR Article 32 technical measures and GxP IT security controls—while maintaining audit-ready documentation and acting as the primary security liaison for external auditors, regulators, Legal and Compliance.

We would like you to have:

• At least five years of hands-on experience in security engineering, application security or information security, with strong technical depth beyond advisory or governance responsibilities.
• Proven experience building or significantly developing a security programme within a product engineering environment, ideally as an early or founding security hire.
• Strong practical experience across application security, cloud security, secure software development, threat modelling, penetration testing, vulnerability management and security controls within CI/CD pipelines.
• Experience assessing, testing or implementing security controls for LLM-powered applications, RAG systems or agentic pipelines.
• Hands-on experience with AI agents, either building them for security automation or securing them through adversarial testing, sandboxing and privilege controls.
• Demonstrable compliance experience involving at least one SOC 2 audit cycle, GDPR programme ownership or implementation of EU AI Act requirements, including the ability to produce audit-ready documentation and work with external auditors.
• Experience in a regulated industry such as clinical research, pharmaceuticals, healthtech or fintech, with knowledge of GxP or comparable regulated data-handling requirements considered a strong advantage, alongside strong English communication skills at C1 level.