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NTT DATA Logo NTT DATA · IT - Administration

Ai Security Architect

United Kingdom, London · Job Posted July 03, 2026
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Job Responsibility

  • Define and lead the AI security architecture roadmap aligned to enterprise security strategy
  • Develop secure-by-design frameworks for AI/ML pipelines, including data ingestion, training, inference, and deployment
  • Establish AI trust, risk, and compliance controls (e.g., explainability, fairness, robustness)
  • Conduct threat modelling for AI systems, identifying vulnerabilities such as: Adversarial attacks (evasion, poisoning), Model inversion and extraction, Data leakage and privacy risks
  • Define and implement risk mitigation strategies and controls
  • Perform AI security risk assessments and integrate findings into governance processes
  • Integrate security into ML pipelines (MLSecOps) including CI/CD and MLOps frameworks
  • Define controls for: Secure dataset handling and lineage, Model versioning and integrity validation, Access control and secrets management
  • Embed automated security testing into model development pipelines
  • Ensure compliance with data protection regulations (e.g., GDPR, HIPAA where applicable)
  • Implement privacy-preserving techniques such as: Differential privacy, Federated learning, Data anonymization and synthetic data
  • Define policies for sensitive data usage in AI models
  • Design safeguards for: Large Language Models (LLMs) and generative AI (prompt injection, hallucinations, data exfiltration), API and model endpoint security
  • Implement guardrails and monitoring solutions for generative AI usage
  • Establish AI security standards, policies, and guidelines aligned to frameworks such as: NIST AI Risk Management Framework, ISO/IEC 27001, 23894
  • Support regulatory compliance and audits related to AI security
  • Partner with data scientists, ML engineers, DevOps, and security teams to embed security practices
  • Act as a trusted advisor to business and technology stakeholders on AI-related risks
  • Provide security design reviews for AI initiatives
  • Define monitoring for model drift, anomalies, and misuse detection
  • Develop playbooks for AI-related security incidents, including model compromise or data breaches
  • Lead investigations involving AI system risks.

Requirements

  • 20+ years of experience in cybersecurity, with at least 3+ years in AI/ML security or data security
  • Proven experience designing secure architectures for AI/ML systems
  • Strong knowledge of: Machine learning frameworks (TensorFlow, PyTorch, etc.)
  • Cloud platforms (Azure, AWS, GCP) and AI services
  • Identity & access management, encryption, and network security
  • Experience in threat modeling and risk assessment methodologies
  • Bachelor’s or Master’s degree in Computer Science, Cybersecurity, AI/ML, or related field.

Nice to have

  • Certifications such as: CISSP, CISM, CCSP
  • Certified AI Security (e.g., CAISP or similar)
  • Experience with: MLOps platforms (e.g., MLflow, Kubeflow)
  • AI red teaming and adversarial testing
  • Knowledge of secure coding and DevSecOps practices
  • Familiarity with Responsible AI principles and ethical AI frameworks.

What we offer

  • We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing
  • Our Learning and Development team ensure that there are continuous growth and development opportunities for our people
  • We also offer the opportunity to have flexible work options.
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