Security Engineer

• Establish AI Cybersecurity Governance and Risk Management: Develop and implement a comprehensive AI risk management framework to identify, assess, and mitigate risks across the AI lifecycle.
• Define and enforce AI policies and controls that aligning with best industry practices such as NIST AI RMF, OWASP AI Security and Privacy Guide.
• Ensure compliance with the evolving global landscape of AI regulations.
• Serve as the primary liaison between Privacy, Legal, Enterprise Architecture, and AI/ML development teams to review AI use cases and evaluate security risks.
• Serve as a key advisor to leadership on AI security risks and opportunities.
• Lead the strategy for integration of cybersecurity controls into the AI solution development lifecycle, from design and data ingestion to deployment and monitoring.
• Lead the strategy to expand existing cyber threat detection and incident response capabilities to identify and respond to AI-specific threat vectors, such as model poisoning, data manipulation, and adversarial attacks.
• Proactively reduce the AI attack surface by embedding security by design principles into all AI projects.
• Collaborate with engineering, data science, and product teams to ensure all AI systems are built with security and privacy in mind.

Senior Cybersecurity Manager – AI Governance and Security

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