Senior Cyber Security Engineer - AI Security Architecture

Key Responsibilities

• Participate in architecture and design discussions for AI-enabled systems, contributing to secure design decisions.
• Evaluate AI and ML solutions and influence design decisions to address security risks across data, model, and platform layers.
• Contribute to the secure design and deployment of AI initiatives by embedding security practices into engineering workflows.
• Partner with engineering, data, and platform teams to embed secure-by-design principles into technology solutions.
• Evaluate and influence architecture decisions across cloud and enterprise environments.
• Identify security gaps and work with engineering teams to drive remediation through design and implementation changes.
• Support the development and maintenance of security architecture standards, reference architectures, and design practices.
• Monitor emerging AI and cybersecurity trends and translate insights into actionable security recommendations.

Required Qualifications

• 5 to 7 years of experience in security engineering, with hands-on experience in cloud and enterprise environments, including work with AI or ML technologies.
• Experience participating in architecture and design discussions, with the ability to contribute to secure design decisions.
• Strong understanding of security architecture concepts, including identifying risks early in the development lifecycle.
• Working knowledge of AI and ML security risks, including data integrity, model protection, and access control considerations.
• Experience securing cloud platforms such as AWS or Azure and familiarity with modern application architectures.
• Demonstrated understanding of secure-by-design principles and development practices such as DevSecOps and CI/CD.
• Familiarity with security frameworks such as NIST, ISO 27001, CIS Controls, Zero Trust, and MITRE ATT&CK.
• Strong communication skills with the ability to work effectively with engineering and technical teams.

Preferred Qualifications

• Security or cloud certifications such as CISSP, CCSP, or AWS/Azure security certifications.
• Hands-on experience supporting or securing AI or ML initiatives in a real-world environment.
• Exposure to architecture or design responsibilities within engineering or security teams.
• Experience working in cross-functional environments involving data, platform, and engineering teams.