IT-Security, Projektmanagement, Beratung / Consulting
Nächstmöglicher Zeitpunkt
Estadio Santiago Bernabéu, Avenida de Concha Espina, Madrid, Spanien
As an AI Security Architect, you will play a crucial role in developing and securing AI-powered solutions within BASF by designing robust architectures, mitigating security threats, and ensuring compliance with industry standards. You will collaborate with cybersecurity and AI/ML experts to build secure AI systems, automate security processes, and conduct risk assessments. Your work will help protect AI applications from adversarial attacks, data breaches, and emerging security threats.
- Provide technical leadership to cross-functional teams, ensuring security is a core focus in AI/ML development
- Collaborate with cyber security experts to design and deploy secure AI models
- Analyze AI security risks and recommend mitigation strategies
- Conduct threat modeling, risk assessments, and adversarial testing on AI/ML applications
- Prototype AI and GenAI-based security tools to enhance detection and response capabilities
- Design and maintain secure APIs for AI model integration
- Conduct security training and knowledge-sharing sessions for development teams within BASF
- Influence security processes, priorities, and strategies to improve AI security across the organization
- Lead projects or teams in solving complex AI security challenges
- Stakeholder management: You can communicate complex technological concepts in a simple and convincing manner. You will be able to convey technical details effectively to both technical and non-technical stakeholders.
- You meet budget targets taking into account market developments as well as current competitive technologies.
- Master's degree (or equivalent experience) in Mathematics, Statistics, Computer Science, Cybersecurity, Business Informatics, or a related field
- 5+ years of experience in AI/ML security, software security engineering, or cybersecurity
- Proficiency in Python (required) and at least one additional language (Java, C/C++)
- Strong understanding of secure software development practices, Software Development Life Cycle (SDLC) and Machine Learning Operationalization (MLOps)
- Experience with adversarial ML threats, model robustness, and AI security frameworks
- Familiarity with agile methodologies, CI/CD pipelines, and cloud security best practices
- Hands-on experience with cloud platforms (Azure preferred) for AI model deployment
- Proficiency in Infrastructure-as-Code (IaC) tools such as Terraform
- Ability to manage multiple priorities in a fast-paced environment. Fast comprehension, strong conceptual and analytical skills and a sense for situational solutions
- Excellent written and verbal communication skills (fluent in English) and high level of personal integrity.
- Experience with Large Language Model (LLM) Security, including prompt injection defense, model auditing, and fine-tuning security
- Knowledge of confidential computing, secure enclaves, and homomorphic encryption for AI models
- Familiarity with AI security regulations and frameworks, such as ISO/IEC 42001, NIST AI RMF, or EU AI Act
- Experience with graph databases and vector search optimization in cybersecurity applications
- Understanding of Explainable AI (XAI) and bias mitigation techniques
- A secure work environment because your health, safety and wellbeing is always our top priority.
- Flexible work schedule and Home-office options, so that you can balance your working life and private life.
- Learning and development opportunities
- 23 holiday days per year
- 5 additional days (readjustment)
- 2 cultural days
- A collaborative, trustful and innovative work environment
- Being part of an international team and work in global projects
- Relocation assistance to Madrid provided