AI Security Architect (M/F/X)
Summary
Architect secure AI/ML ecosystems at DHL, embedding security-by-design across data pipelines, models, APIs, and cloud-native deployments (Docker, Kubernetes, AWS/Azure/GCP), and leading threat modeling, security testing, and AI-governance standards such as OWASP Top 10 for LLMs.
BE AN ESSENTIAL PART OF EVERYDAY LIFE
Position: AI Security Architect
Grade: I
Contract Type: Full-time Permanent
Travel Remit: Global
Travel Required: less 20%
Location: Germany, India, Czech Republic, UK
Advertising End Date: 04.09.2026
Disclaimer: Please note that this job advertisement may close earlier than the stated deadline if a sufficient number of applications are received. We encourage interested candidates to apply as soon as possible to ensure consideration for the position.
At DHL our business is logistics, but people are our passion. With over 500,000 team members in 220 countries, we attract and retain great talent. We are one of the most innovative, most culturally diverse companies on the planet. We provide unmatched opportunities for personal and professional development. We really are a “Best Place to Work”.
AI is at the heart of DHL Group's Strategy 2030 and DHL Supply Chain's 2X30 ambition. As AI adoption accelerates, so do emerging security risks. Therefore, we are looking for a dedicated AI Security Architect to join our team.
This strategic role offers the opportunity to lead the design of secure AI architectures, embed security across the AI lifecycle, and ensure our AI-driven systems remain protected, resilient, and trustworthy.
If this sounds like a team, you'd like to join … keep reading.
YOUR KEY ACCOUNTABILITIES INCLUDE:
- Architect Secure AI Ecosystems: Design and implement end-to-end security frameworks for AI/ML platforms, ensuring security-by-design across data pipelines, models, APIs, and deployment environments.
- Secure Cloud-Native & Containerized Environments: Establish and enforce security best practices across Docker, Kubernetes, and cloud-native architectures to protect critical AI applications.
- Lead AI Threat Modeling & Risk Management: Identify, assess, and mitigate AI-specific risks including model poisoning, adversarial attacks, prompt injection, and data leakage.
- Drive AI Security Testing & Validation: Evaluate and govern penetration testing, vulnerability scanning, red-teaming exercises, and other security testing practices for AI systems.
- Embed Security Across the AI Lifecycle: Implement security controls from data acquisition and model training through deployment, monitoring, and retraining.
- Champion AI Security Standards & Governance: Drive the implementation of OWASP Top 10 for LLMs, AI security guidelines, cybersecurity regulations, and AI governance frameworks.
- Collaborate Globally to Enable Security-by-Design: Partner with product, engineering, data science, infrastructure teams, and external service providers to integrate security into every stage of development.
- Provide Trusted Security Expertise: Assess AI use cases and vendors from a security perspective, while providing technical guidance to managers, employees, customers, and key stakeholders.
- Strengthen Monitoring & Incident Response: Define detection, monitoring, and response strategies for AI-specific threats, vulnerabilities, and emerging security challenges.
- Influence, Coach & Drive Change: Build strong cross-functional relationships, convince subject matter experts to adopt new concepts and approaches, coach lower-level professionals, and lead processes, programs, or small teams to successful outcomes.
WHAT ARE WE LOOKING FOR FROM YOU?
- 6+ years in cybersecurity architecture within enterprise, cloud-native, or large-scale environments.
- Hands-on experience securing Docker, Kubernetes, and cloud-native platforms.
- Strong cloud security expertise across AWS, Azure, and/or GCP.
- Strong knowledge of application, API, and infrastructure security.
- Strong understanding of security testing methodologies, including penetration testing and vulnerability management.
- Understanding AI/ML concepts and the AI lifecycle.
- Expertise in threat modeling, risk assessment, and security frameworks.
- Ability to translate technical risks into business-focused insights.
- Strong stakeholder management and communication skills.
- Bachelor’s degree in related fields.
- Experience with AI/ML, LLM, data science workflows, penetration tests for AI and cloud-native security.
- Knowledge of AI security frameworks, OWASP Top 10 for LLMs, and DevSecOps practices.
- CISSP (or equivalent) certification and experience in large-scale enterprise environments.
WHAT YOU'LL NEED TO DO NEXT?
If you have a proven track record of achievement to match the requirements for this role and you are looking for your next career move, simply apply online ensuring that a full UP-TO-DATE CV is attached with your application.
We will ensure that all our resourcing activities are fair, transparent, and consistent across the Globe. We want to ensure that the candidate experience is of the highest professional standard.
The Company is committed to providing equality of opportunity for all employees. Furthermore, we aim to ensure our workplaces are free from discrimination and that not only employees but also our potential future employees are treated fairly and with dignity and respect. We will ensure that equality of opportunity maintains a high profile in our organisation.