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AI Security Architect

Norton BlakeLondon🇬🇧United KingdomPosted 21 Jul 2026

Why This Role Stands Out

Shape the future of enterprise AI security in a hybrid London role offering up to £750 per day, where you'll design robust architectures and collaborate with diverse teams to ensure secure AI adoption. This mid-senior position is ideal for experienced Security Architects eager to tackle cutting-edge AI and Generative AI challenges, making a significant impact on a reputable company. Apply now to leverage your expertise in this dynamic and forward-thinking field.

Quick Overview

Seniority
Mid Senior
Employment type
Temporary/Casual
Work mode
Hybrid
Location
London, United Kingdom
GCPOAuthOWASP

Job Description

AI Security Architect

London - Hybrid
up to £650 per day - Inside IR35
Initial 6-month contract

I'm currently recruiting for an GCP AI Security Architect to assess enterprise AI solutions and design practical security controls across AI platforms, applications and third-party integrations.

We're looking for someone with a strong foundation in traditional software threat modelling and security architecture, alongside hands-on experience identifying and mitigating AI-specific risks.

Key responsibilities:

  • Analyse AI/ML architectures using frameworks such as OWASP Top 10 for LLMs, NIST AI RMF and MITRE ATLAS.
  • Audit and security-vet external AI vendors and third-party AI APIs, assessing their risk profiles and recommending controls.
  • Design security guardrails to mitigate prompt injection, data exfiltration and model poisoning.
  • Define secure API integrations, authentication and access controls using OAuth, IAM and secure data-in-transit practices.
  • Translate complex AI security risks into actionable recommendations, working closely with engineering, legal and compliance teams.

Essential experience:

  • 5+ years in enterprise security architecture, threat modelling and secure system design.
  • Securing GCP Vertex AI and Gemini API integrations.
  • Strong traditional software threat modelling experience, with direct involvement in designing and implementing risk mitigations.
  • Proven experience assessing AI/ML systems from a security perspective.
  • Practical experience evaluating third-party AI services and securing AI workloads.
  • Ability to explain technical risks clearly and guide teams towards effective security controls.
  • Implementing NeMo Guardrails, Llama Guard or cloud-native security proxies.
  • Securing GCP Vertex AI and Gemini API integrations.

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