Platform Security Lead (m/f/d) AI Solutions

We are looking for a Platform Security Lead (m/f/d) AI Solution to help Hapag-Lloyd adopt artificial intelligence securely and responsibly. You will partner with AI, data, IT, product, and business teams to identify and manage security risks across AI solutions - from use-case assessment and design to deployment, monitoring, and change.

The role will focus on making security practical for teams building or using AI, while supporting the company’s governance, risk management and information security requirements.

• Develop and promote security requirements and reusable controls for AI solutions and AI-enabled products
• Assess security risks throughout the AI lifecycle, including design, data preparation, development, deployment, integration and operation
• Threat-model AI applications and integrations, including model interfaces, plugins, APIs, agents and external services
• Assess risks such as prompt injection, unsafe output handling, data leakage, insecure tool access, model or service misuse, and supply-chain exposure
• Review how sensitive information is accessed, processed, retained and protected in AI workflows
• Partner with AI and engineering teams to extend the application security program into AI development
• Assess identity, access, secrets, network boundaries, logging and monitoring for AI platforms and workloads
• Advise on security testing, red-team activities, vulnerability handling, and remediation for AI-enabled systems
• Translate identified risks into clear recommendations, risk opinions and proportionate mitigations
• Collaborate with AI governance, privacy, legal, compliance and risk stakeholders to align security reviews with company requirements
• Help develop AI security guidance, review processes, patterns and awareness materials for technical and business teams
• Track developments in AI security threats, technologies, standards, and regulatory expectations

• Bachelor’s or Master’s degree in IT, cybersecurity, data science, computer science or a related field - or equivalent practical experience
• At least four years of relevant experience in information security, application security, cloud security, AI engineering or a related discipline
• Understanding of machine-learning and generative-AI systems, including common architectures and deployment patterns
• Experience assessing application, cloud, API or platform security; experience with AI security is an advantage
• Familiarity with AI security risks, including prompt injection, data exposure, insecure integrations and model or service abuse
• Knowledge of threat modeling, secure development, and risk assessment methods
• Understanding of cloud security, identity and access management, data protection, and security monitoring
• Familiarity with relevant security standards and frameworks, such as ISO 27001, NIST, OWASP and CIS; knowledge of AI-specific guidance is an advantage
• Ability to work across technical and non-technical teams and explain emerging risks in clear, practical terms
• Strong analytical, communication and stakeholder-management skills