AI Security Compliance Technology & Semantic Systems Engineer

What you will be working on:

• Designing and developing compliance-focused components as part of a larger, multi-partner European research initiative.
• Working across the full development lifecycle.
• Collaborating with international partners and contributing to shared technical deliverables.

Technical Skills:

• Strong understanding of knowledge graphs, ontology, and semantic data modelling.
• Understanding of the EU regulatory landscape, particularly the AI Act and GDPR.
• Understanding of how regulatory obligations maps to data governance, model transparency, and compliance requirements.
• Experience with or knowledge of policy-as-code frameworks (Open Policy Agent, Rego, or similar).
• Familiarity with standards and frameworks relevant to trustworthy AI and data sharing (ISO/IEC 42001, NIST AI RMF, ENISA guidelines, ISO/IEC 27001).
• Solid software development experience (Python / Java).

Nice to Have:

• Familiarity with EU data spaces or IDSA/GAIA-X standards.
• Exposure to privacy-enhancing technologies (federated learning, homomorphic encryption).
• Knowledge of verifiable credentials or blockchain-based audit trails.

Soft Skills:

• Strong written communication skills, able to translate complex regulatory and technical concepts into clear documentation and reports.
• Comfortable presenting and explaining technical concepts to non-technical stakeholders.
• Organized, proactive, and able to manage workload across multiple concurrent tasks.
• A pragmatic approach to problem-solving at the intersection of law, data, and technology.