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Cybersecurity Specialist

Job in City Of London, Central London, Greater London, England, UK
Listing for: Randstad Technologies Recruitment
Full Time position
Listed on 2026-02-09
Job specializations:
  • IT/Tech
    Cybersecurity, AI Engineer, IT Consultant, Data Security
Job Description & How to Apply Below
Location: City Of London

Overview

On behalf of one of our premier clients, we are seeking a high-caliber Cybersecurity Specialist to join their expanding AI & Data Security team. This is a critical role within our client's AI Security programme, designed for a professional who thrives at the intersection of traditional infrastructure security and the emerging frontier of Generative AI. Our client is at the forefront of AI adoption;

you will be the technical lead ensuring that these powerful technologies from AWS Bedrock to Azure OpenAI are implemented with world-class security standards.

Core Requirements
  • Network Encryption:
    Master Proficiency is required. You must have deep expertise in securing data in transit, cryptographic protocols, and enterprise-scale encryption management.
  • Microsoft Azure Active Directory (Entra ) Security:
    Master Proficiency is suggested. Extensive experience in identity governance, conditional access, and securing cloud identities is critical.
AI & Emerging Technology (Recommended)
  • Secure AI:
    Expert Proficiency is highly recommended. This includes knowledge of model security, deployment patterns, and the safe operationalization of foundation models.
  • AI Agents:
    Intermediate Proficiency suggested. Experience in the security implications of autonomous agents and LLM-integrated workflows.
  • Amazon Bedrock & Microsoft Azure AI Foundry:
    Intermediate Proficiency suggested. Practical experience with these specific platforms and their native security controls.
Key Responsibilities
  • Innovative Strategy:
    Develop and implement security strategies that enhance application security while enabling AI adoption.
  • Security Governance:
    Translate platform-specific risks (AWS Bedrock, Azure OpenAI) into actionable engineering patterns and governance controls.
  • Assessments & Audits:
    Conduct regular security assessments and audits to identify vulnerabilities across the AI and data landscape.
  • Cross-Functional Collaboration:

    Partner with multiple teams to ensure security best practices are integrated into the development lifecycle.
  • Mentorship:
    Act as a subject matter expert, managing team decisions and mentoring members on modern application security principles.
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