Senior Specialist Cyber Security Enterprise Architect (m/f/d)

RESPONSIBILITIES

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.

QUALIFICATIONS

• 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.

NICE TO HAVE

• 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

BENEFITS

• 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