IT & Software

Senior AI Security Architect Consultant

NTT DATA

London · Greater London · United Kingdom

Overview

In this role you will design and govern secure AI/ML systems across the enterprise, embedding security, privacy and trust from data ingestion to deployment and monitoring. You will work with cross-functional teams to build secure-by-design AI solutions and manage risks related to adversarial threats and data leakage. The position offers impact through defining governance, risk controls, and secure ML lifecycles at scale, with a focus on responsible AI and compliance.

Pay / Benefits
  • flexible work options
  • learning and development opportunities
  • tailored wellbeing benefits
Responsibilities
  • Define and lead the AI security architecture roadmap aligned to enterprise security strategy
  • Develop secure-by-design frameworks for AI/ML pipelines (data ingestion, training, inference, deployment)
  • Establish AI trust, risk, and compliance controls (explainability, fairness, robustness)
  • Conduct threat modelling for AI systems and implement mitigation strategies
  • Integrate security into ML pipelines (MLSecOps), including CI/CD and MLOps
  • Define data handling, lineage, model versioning and integrity controls; manage access and secrets
  • Embed automated security testing into model development pipelines
  • Ensure compliance with data protection regulations (GDPR, HIPAA where applicable) and apply privacy-preserving techniques
  • Design safeguards for LLMs and generative AI, API/model endpoint security, monitoring and guardrails
  • Establish AI security standards and assist audits aligned to NIST AI RMF, ISO/IEC 27001, 23894
  • Collaborate with data scientists, ML engineers, DevOps and security teams; provide security design reviews
  • Define monitoring for drift, anomalies, misuse detection; develop incident response playbooks and lead investigations
Key requirements
  • 20+ years in cybersecurity
  • ≥3 years in AI/ML security or data security
  • Proven experience designing secure architectures for AI/ML systems
  • Knowledge of 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 related field
  • Strong communication
  • Stakeholder management
  • Collaborative mindset
  • AI/ML security and adversarial techniques
  • Cloud security architecture
  • Data privacy and protection

Reference: WJ-747_31002471

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