AI Security Architect

We are seeking an experienced AI Security Architect to lead the design, development, and implementation of robust security frameworks across our AI and machine learning environments. This is a strategic role focused on securing the full lifecycle of AI/ML systems—from model development and training data to deployment and ongoing operations. You will work cross-functionally with data scientists, engineers, and business stakeholders to ensure that our AI systems are safe, resilient, compliant, and aligned with emerging regulatory frameworks such as the EU AI Act, NIST AI RMF, GDPR, and more.

Key skills:

• Proven experience as a Security Architect with a strong focus on AI/ML security.
• Deep understanding of AI/ML systems, algorithms, models, and common frameworks.
• Solid background in secure software development and architecture, particularly within data-heavy or AI environments.
• Proficiency in Python, R, C/C++, or Java, and awareness of security risks associated with these languages.
• Familiarity with key ML frameworks such as TensorFlow, PyTorch, JAX, and scikit-learn.
• Strong grasp of DevOps/CI/CD workflows and secure SDLC methodologies.
• Experience securing cloud-native environments, including containerized services (e.g., Kubernetes) and CI/CD orchestration tools.
• Knowledge of AI-specific threat vectors like adversarial attacks, data poisoning, and prompt injection, and familiarity with the MITRE ATLAS framework.
• Proficiency in threat modeling and security assessment techniques for AI/ML systems.
• Understanding of relevant laws and standards (EU AI Act, DSA, DMA, GDPR, ISO 27001, etc.) and their security implications.
• Demonstrated ability to design and implement access controls, identity management, and encryption for AI/ML environments.
• Consulting background is a plus.
• Strong communication skills (oral & written).
• Rights to work in the UK is a must (No Sponsorship available).

Responsibilities:

• Develop and implement enterprise-wide security strategies, policies, and frameworks for AI/ML systems.
• Design secure architectures for AI/ML platforms, CI/CD pipelines, and data workflows.
• Participate in organizational architecture discussions to support the secure development and operation of AI/ML workloads.
• Lead security risk assessments and threat modeling for AI/ML applications—identifying vulnerabilities and recommending mitigation strategies.
• Contribute to testing and validation of AI models and LLMs with a focus on trust, safety, fairness, bias, and adversarial robustness.
• Integrate security best practices into AI/ML pipelines, algorithms, and applications.
• Establish strong access controls, authentication, and encryption protocols to protect sensitive AI assets and data.

Should you be interested in being considered for this position and would like to discuss further, please apply with your latest CV or share your CV directly with me at christophe.ramen@focusonsap.org.