AI Cybersecurity Architect (Governance & Control Frameworks)

About us: Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges. About the Client: Join one of Egypt’s premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery. About the Role: As a premier banking institution in Egypt, we are rapidly scaling our cutting-edge AI and Machine Learning capabilities. To ensure this innovation does not compromise our security posture, our Cybersecurity Department is looking for an expert AI Cybersecurity Architect . In this highly strategic role, you will be the foundational architect behind the bank’s AI security governance. You will not just react to threats; you will build the comprehensive control frameworks, policies, and architectural standards that govern how AI models, Large Language Models (LLMs), and big data pipelines are safely developed, deployed, and managed across the enterprise. Key Responsibilities Establish AI Security Governance Frameworks: Author, implement, and maintain the bank's enterprise-wide AI Security Policy. Align our internal AI governance with international standards (such as NIST AI RMF, ISO/IEC 42001, and OWASP Top 10 for LLMs) while strictly ensuring compliance with evolving Central Bank of Egypt (CBE) regulations and the Egyptian Data Protection Law. Design & Build Cybersecurity Controls: Architect, enforce, and validate technical and administrative security controls tailored for the entire AI/ML lifecycle (Data Ingestion, Training, Deployment, and Inference). This includes building robust controls against data poisoning, model inversion, prompt injection, and unauthorized data exfiltration. Secure MLOps Architecture: Define the reference architectures and secure guardrails for our Machine Learning Operations (MLOps) pipelines. Ensure that security checks, vulnerability scanning, and model integrity verifications are seamlessly integrated into our continuous deployment workflows. Advanced AI Threat Modeling & Risk Assessment: Lead comprehensive risk assessments and threat-modeling exercises on all proprietary and third-party AI implementations. Identify structural risks in algorithmic logic, training data pipelines, and API integrations, translating technical risks into clear business governance metrics. Third-Party & Vendor AI Governance: Develop and execute rigorous cybersecurity assessment frameworks for evaluating third-party AI tools, cloud-hosted models, and external vendors, ensuring they meet the bank’s strict data privacy and control standards. Professional Experience: 8+ years of progressive experience in Cybersecurity Architecture or IT Risk Governance, with at least 3+ years of dedicated experience explicitly focused on securing AI/ML systems and building enterprise governance frameworks . Banking Sector Expertise (Mandatory): Minimum of 3 years of experience working within a regulated financial institution in Egypt. You must possess an intricate understanding of CBE cybersecurity circulars, auditing standards, and banking compliance requirements. Mastery of Control Building & Governance: Proven track record of designing, writing, and implementing complex cybersecurity control frameworks from scratch. Deep familiarity with traditional frameworks (NIST SP 800-53, ISO 27001) as well as modern AI-specific guardrails is a must. Technical & Architectural Depth: Strong conceptual and practical understanding of AI/ML infrastructure, including neural networks, LLM orchestration layers, vector databases, and cloud data platforms (Azure, AWS, or hybrid environments). You must speak the language of both data scientists and enterprise security engineers. Education & Elite Certifications: * Bachelor’s degree in Cybersecurity, Computer Engineering, Computer Science, or a related technical discipline. Elite security certifications are highly preferred (e.g., CISSP, CISM, CRISC, or CCSP ), alongside any specialized AI security credentials. Leadership & Communication: Exceptional communication and stakeholder management skills. You must possess the professional maturity to present complex AI risks to C-suite executives and board members, while maintaining the technical credibility to influence data science teams. Fluency in English. Attractive, market-leading salary package Clear career advancement path with professional development opportunities