As an AI Security Engineer, you will work at the intersection of cybersecurity, AI, data, and biotechnology, helping teams develop and deploy AI solutions securely at enterprise scale. Key Responsibilities: Design, implement, and automate security controls for AI/ML platforms, applications, models, APIs, and infrastructure; Integrate security into AI, MLOps, LLMOps, DevSecOps, and CI/CD pipelines; Secure generative AI, AI agents, RAG architectures, vector databases, and cloud-based AI services; Perform threat modelling, security testing, monitoring, and incident detection; Build security standards and technical guidance; Collaborate with AI, platform, cloud, and cybersecurity teams to identify and remediate risks. Required Qualifications: Bachelor's or Master's degree in Computer Science, Cybersecurity, Engineering, IT, or a related field; 5+ years of experience in cybersecurity, security engineering, application security, cloud security, or similar roles; Strong programming/scripting and security automation skills; Knowledge of application security, cloud-native technologies (preferably AWS), threat modelling, AI/ML systems, MLOps/LLMOps, generative AI risks, AI agents, RAG architectures, and frameworks such as OWASP, MITRE ATLAS, and NIST AI RMF; Fluency in English. Preferred Qualifications: Experience with PyTorch, TensorFlow, Hugging Face, LangChain, MLflow, SageMaker, or similar technologies; Knowledge of data protection and regulated environments (GDPR, EU AI Act, HIPAA); Relevant certifications such as CISSP, CCSP, cloud security, or AI security certifications. What Amgen Offers: Meaningful work, exposure to cutting-edge AI and security technologies, global collaboration, continuous learning and career development opportunities, comprehensive benefits, and a hybrid work model in Lisbon.