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 ID) 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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