Security Architect - AI

Deine Rolle im Team

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Ausbildung

• A Master's degree in Computer Science, Software Engineering, Electrical Engineering, Mechanical Engineering, Mathematics, or Physics.

Qualifikationen

• Proven track record in designing and implementing secure architectures for AI platforms and AI-driven use cases.
• Cloud Security: Certifications or training in cloud platforms (AWS, GCP, Azure preferred) and expertise in cross-provider cloud technologies (e.g., Microsoft Azure, Google GCP, Amazon AWS, Alibaba).
• Strong understanding of software architectures, design patterns, and abstract thinking, with the ability to map capabilities to technologies effectively.
• Knowledge of HSM, certificate infrastructures, key vaults, TLS protocols, and authentication methods like OAUTH2.
• Expertise in securing AI platforms, addressing risks like data poisoning and model theft, and ensuring compliance with ethical AI principles, regulatory standards, and the EU AI Act.
• Proficiency in Python, managing code repositories, containerizing artifacts, and implementing 'Infrastructure as Code' using tools like Terraform and PowerShell.
• Proven ability to give technical guidance to international teams, fostering collaboration and driving security initiatives across diverse, cross-functional groups.

Erfahrung

• Minimum of 7+ years of professional experience in roles such as data modeling, algorithm development, data science, or similar fields.
• Experience with regulatory frameworks (ISO/IEC 27001, SOX, HIPAA, PCI DSS, EU AI Act) and integrating compliance requirements into AI security strategies.