AI Security Architect Consultant

NTT DATA · Birmingham, England ·

Last confirmed by our partners on 25 Oct 2026.

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Overview

As AI Security Architect, you design secure, scalable cloud and AI architectures for clients, with a focus on GCP and agentic AI systems. You translate business and compliance needs into practical security designs, shaping governance, risk, and secure workload patterns.

You work with cross‑functional teams to implement AI security controls, threat modeling, and compliant integration of AI with cloud environments. You drive security standards and provide technical leadership across projects, helping clients reduce risk and accelerate secure innovation.

This role offers impact at scale by blending cloud security, AI governance, and modern architecture practices in a global delivery context.

Pay / Benefits

  • tailored benefits
  • learning and development opportunities
  • flexible work options

Responsibilities

  • Translate requirements into secure architectural designs using industry frameworks (NIST, ISO 27001, CIS)
  • Design and maintain GCP-focused security architectures and workload security patterns
  • Develop security design documentation and diagrams aligned with compliance needs
  • Apply risk-based and threat-based approaches to propose secure solutions
  • Shape security controls for agent-based AI systems and multi-agent workflows
  • Conduct AI-specific threat modeling (model extraction, poisoning, data leakage)
  • Support security governance, policy development, and audits across cloud and AI domains
  • Lead cloud security posture assessments and AI pipeline hardening
  • Mentor teams and contribute to pre-sales and delivery collateral

Key requirements

  • Security‑first mindset
  • 5+ years in information security, cloud security and architecture
  • Strong governance, risk and compliance knowledge (ISO 27001, NIST CSF/800-53, NIS2, DORA)
  • Strong communication with senior stakeholders; mentoring experience
  • excellent communication
  • stakeholder engagement
  • mentoring/leadership
  • GCP cloud-native architecture
  • GCP security services and best practices
  • Secure multi-project setups and IAM boundaries
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