AI Security (Senior) Consultant

Over de vacature

Overview

As an AI Security Consultant, you will help clients secure AI systems and adopt AI responsibly. You'll work across advisory, assessment, and implementation, collaborating with cross-functional teams to translate risk into concrete actions. You'll apply security frameworks to real environments and contribute to AI-native security delivery. This role combines deep technical insight with strategic mentoring to drive secure AI outcomes at scale.

Arbeidsvoorwaarden / Benefits

• 4x9 workweek
• Hybrid working
• Annual bonus
• Health insurance
• 26 vacation days
• Parental and other special leaves

Verantwoordelijkheden

• Lead client engagements across AI security assessment, advisory, and implementation with growing ownership
• Assess and improve AI system security using frameworks like OWASP LLM Top 10 and MITRE ATLAS; identify gaps and remediation
• Support AI-native security delivery and Cyber.AI deployments with forward-deployed engineers
• Translate security risk to CISO and control requirements to development teams
• Translate regulatory frameworks (DORA, NIS2, EU AI Act) into concrete client requirements and designs
• Advise on securing AI across people, process, and technology, not just technology
• Contribute to methodology, assessment tooling, sector perspectives, and business development including proposals and RFPs

Belangrijkste vereisten

• Approx. 3-6 years of related experience in cybersecurity, technology consulting, security engineering, or similar

• Working understanding of AI/ML systems; knowledge of LLM applications, RAG architectures, and agentic systems

• Solid cybersecurity foundation across frameworks, controls, and risk assessment

• Understanding of securing AI and responsible AI use

• Ability to engage credibly with engineering and MLOps teams

• Strong structuring and communication skills

• Genuine curiosity about AI security and comfort with ambiguity

• Genuine curiosity about AI security

• Comfort with ambiguity

• Strong communication and stakeholder engagement

• Understanding of LLMs, RAG, and agentic AI systems

• Cybersecurity frameworks, controls, risk assessment

• Experience engaging with engineering and MLOps teams

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