AI Security Architect

About the Role

Join a global leader in logistics as an AI Security Architect, playing a crucial role in securing AI-driven platforms aligned with DHL's Strategy 2030 and Supply Chain ambitions. This position is a full-time, permanent opportunity based in Germany with some travel required (less than 20%) to multiple countries including India, Czech Republic, and the UK. The role involves embedding security principles across AI lifecycles to ensure resilient, trustworthy AI systems.

Key Responsibilities

• Design and deploy comprehensive, secure AI ecosystems incorporating data pipelines, models, APIs, and deployment environments under a security-by-design approach.
• Implement and uphold security standards in cloud-native and containerized infrastructures, safeguarding AI applications running on Docker, Kubernetes, and cloud platforms.
• Lead AI-specific threat modeling and risk assessments, addressing challenges such as model poisoning, adversarial attacks, prompt injection, and potential data breaches.
• Manage AI-related security testing, including penetration tests, vulnerability scans, and red-team exercises, ensuring robust validation of AI systems.
• Incorporate security controls throughout the AI lifecycle — from data collection and model training to deployment, continuous monitoring, and retraining phases.
• Promote and enforce AI security standards, including OWASP Top 10 guidelines for large language models, cybersecurity regulations, and governance frameworks.
• Work collaboratively with cross-functional teams—including product development, engineering, data science, and infrastructure—to integrate security at every stage of AI development.
• Provide expert guidance on security perspectives for AI use cases and vendor solutions, advising managers, colleagues, and stakeholders effectively.
• Develop strategies to monitor, detect, and respond to AI-specific security threats and evolving vulnerabilities.
• Drive organizational change by influencing, mentoring, and coaching teams, and leading programs or small teams towards successful security outcomes.

Candidate Profile

• Minimum of six years’ experience in cybersecurity architecture, ideally within enterprise, cloud-native, or large-scale environments.
• Practical expertise securing container platforms such as Docker and Kubernetes as well as cloud-native infrastructures.
• Proficiency in cloud security frameworks and services on AWS, Azure, and/or Google Cloud Platform.
• Deep understanding of application, API, and infrastructure security concepts.
• Strong command of security testing processes including penetration testing and vulnerability management.
• Fundamental knowledge of AI/ML technologies and the AI operational lifecycle.
• Competence in threat modeling, risk evaluation, and applying security frameworks to mitigate risks.
• Ability to communicate technical risks effectively by framing them in business-relevant terms.
• Excellent stakeholder engagement and communication capabilities.
• Bachelor’s degree in a related discipline is required.

Desirable Qualifications

• Experience with AI/ML workflows, large language models, and penetration testing in AI and cloud-native security contexts.
• Familiarity with AI security standards such as OWASP Top 10 for LLMs and adherence to DevSecOps methodologies.
• Professional certifications such as CISSP or equivalents alongside experience supporting large enterprises.

Additional Information

This company values equality and fairness in its hiring and workplace practices, ensuring a discrimination-free environment where diversity and dignity are respected. Candidates are encouraged to apply promptly as the recruitment process may close once the position is filled.