AI Security Expert

5 days ago

bhavnagar, India beBeeArtificial Full time

Chief AI Security ArchitectWe are seeking a seasoned expert to lead the development of our organization's AI security strategy.This role involves establishing and governing security best practices across our AI, Data, and Digital portfolios, ensuring compliance with regulatory requirements such as GDPR and ISO standards.The ideal candidate will have deep knowledge of how AI solutions are built, from experimentation to production, and be able to lead a cross-functional team to operationalize AI security across business units.Key Responsibilities:AI Security Strategy: Design and implement the organization's AI security framework, including risk management and mitigation strategies.Secure AI Product Lifecycle: Ensure security controls and compliance throughout the AI solution lifecycle—from model development, data handling, deployment, and monitoring to production support.Cross-Functional Collaboration: Work closely with Data, Digital, and Infrastructure Security teams to embed AI security within broader enterprise security frameworks.Ai Governance & Compliance: Define policies to address the ethical, legal, and regulatory aspects of AI solutions, ensuring responsible AI deployment.Ai Risk & Insurance: Evaluate and establish AI insurance mechanisms to safeguard organizational interests against AI-related risks.Security Best Practices: Develop and socialize secure development and operational practices for AI and ML systems.Leadership: Mentor a high-performing team, influencing security posture across business units.Stakeholder Engagement: Partner with product and engineering leaders to proactively identify and mitigate AI-specific threats.Requirements:Proven experience in AI Security or Application/Product Security roles with exposure to AI/ML products in production.Strong understanding of AI product lifecycle, including data pipelines, model training, deployment, and inference operations.Deep knowledge of security principles, threat modeling, and compliance frameworks applicable to AI solutions (e.g., GDPR, ISO, NIST AI RMF).Familiarity with Microsoft ecosystem (Azure, M365 Security, Defender, Sentinel, Purview) is preferred.Understanding of infrastructure security and ability to collaborate effectively with infrastructure and DevOps teams.Awareness of AI legality, ethics, and governance frameworks and their impact on enterprise AI deployment.Ability to drive cross-BU initiatives and influence senior stakeholders.Excellent communication, leadership, and problem-solving skills.

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