AI Security Engineer

Your role in the team

Responsibility Distribution

Our expectations of you

Education

• We are looking forward to your completed studies in Computer Science, Cybersecurity, AI, Data or comparable

Qualifications

• Certifications in security (e.g., CISSP, CEH, Security+) and/or relevant Cloud Computing certifications
• Understanding and expertise on the EU AI Act
• Familiarity with zero-trust architectures for AI systems.

Experience

• Technical Background:  Proven experience in cybersecurity and/or AI, with a strong interest in securing AI solutions. Previous experience in AI model development, adversarial testing, security assessments particularly within AI contexts, cybersecurity analytics is a plus.
• Client-Facing Experience:  Strong interpersonal and communication skills, with experience in a consulting or client-facing role. Ability to translate complex technical findings into clear, actionable insights for diverse client audiences.
• Understanding of AI Security Threats:  Familiarity with AI-specific vulnerabilities, such as model poisoning, prompt injections, and data obfuscation.
• Monitoring and Observability Skills:  Hands-on experience with monitoring and observability platforms (e.g., Splunk, ELK Stack) is beneficial.
• Knowledge of Responsible AI Practices:  Experience with explainable AI, fairness audits, and ethical AI practices.
• Analytical Skills:  Strong ability to analyze security findings, conduct AI-driven threat assessments, and report insights effectively.
• Programming Skills:  Proficiency in Python, with experience in AI/ML frameworks (e.g., TensorFlow, PyTorch) and cybersecurity tools (e.g., Metasploit, Nmap) preferred.
• Cloud Computing:  Proficiency with cloud Frameworks ( AWS ,  Azure ), with a focus on securing machine learning workloads.