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Overview

We are seeking an experienced Senior Security Architect to join our team. The successful candidate will design and implement security solutions for our cloud-based AI API offering and our security compliance monitoring product. Additionally, you will be responsible for designing cloud security controls to monitor and enforce standard security policies within our Cloud Security Monitoring offering. This role requires close collaboration with cross-functional teams to ensure that all security architectures meet regulatory requirements and industry best practices.

Core42 is the UAE's national-scale enabler for cloud and generative AI, combining G42 Group's expertise across multiple technology disciplines into a single platform for public sector and large enterprise transformations. Building on our capabilities as sovereign cloud and HPC specialist, we bring generative AI, cybersecurity, professional and managed services expertise to enable national-scale program deployments across industries.

Responsibilities

• Security Architecture Design:
• Design security architectures for the cloud AI API, ensuring data protection and compliance with industry standards.
• Develop cloud security controls to monitor and enforce security policies within the Cloud Security Monitoring offering.
• Collaborate on the security design of the compliance monitoring product, ensuring integration with cloud security and AI API solutions.
• Cloud Security Monitoring:
• Develop and implement cloud security controls that provide real-time visibility and enforcement of security policies.
• Work with cloud engineers to integrate security monitoring tools across cloud environments.
• Cloud AI API Security:
• Architect secure API frameworks for the AI API, including OAuth, JWT, and encryption methodologies.
• Implement security measures to protect AI models and ensure secure data processing and compliance with data protection regulations.
• Compliance and Risk Management:
• Ensure both the cloud AI API and Cloud Security Monitoring offerings meet regulatory and compliance requirements.
• Identify and mitigate security risks associated with AI, machine learning models, and cloud environments.
• Secure Development Lifecycle:
• Integrate security best practices into the software development lifecycle (SDLC) for cloud and AI environments.
• Work with development teams to ensure secure coding practices, threat modeling, and vulnerability management.

Qualifications

• Bachelor's degree in Computer Science, Information Security, or a related field (Master's preferred).
• 5-7 years of experience in security architecture, with a focus on cloud security, API security, and compliance monitoring.
• Strong knowledge of security standards and frameworks (e.g., NIST, ISO 27001, CIS, GDPR, HIPAA).
• Experience with secure API design, particularly in AI and machine learning environments.
• Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud security tools.
• Excellent problem-solving, communication, and collaboration skills.