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BrusselsHybridHours negotiable<3months
For a challenging assignment within a complex organization.
- You will be responsible for integrating security across the entire AI lifecycle.
- You will protect AI solutions, models, data, and integrations, while contributing to a safe and responsible application of AI within the organization.
What you do
- Perform threat modeling, risk analyses, and security assessments for GenAI, machine learning, and agentic AI solutions.
- Design and implement security guardrails around identity management, least privilege, secrets management, network isolation, data protection, and prompt security.
- Test abuse scenarios such as prompt injection, data exfiltration, excessive rights, unreliable output, and misuse of AI tools or agents.
- Integrate security requirements into sandbox environments, gateways, development and deployment pipelines, model management, and production platforms.
- Co-design security monitoring and incident response processes for AI components.
- Evaluate vendors, models, libraries, and external AI services from a security and risk perspective.
- Advise various stakeholders on AI security and support multidisciplinary decision-making.
- Contribute to the safe and responsible deployment of AI within the organization.
Profile
- Demonstrable experience in cybersecurity engineering, cloud security, application security, IAM, SOC, or DevSecOps.
- Strong insight into the risks associated with LLMs, AI agents, retrieval solutions, and model and data supply chains.
- Experience with security testing, technical risk analyses, and formulating concrete improvement measures.
- Ability to enable innovative AI solutions with balanced and pragmatic security measures.
- Knowledge of GDPR, AI Act, NIS2, or similar regulations and frameworks.
- Experience collaborating within multidisciplinary teams of IT, business, security, and architecture profiles.
- Strong communication skills and the ability to explain technical concepts understandably to different target audiences.
- Analytical mindset and a pragmatic approach to complex issues.
- Results-oriented and able to deliver quality outputs within set deadlines.
- Knowledge of the public sector or experience within a government context is a plus.
How to apply
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