AI Security Specialist

1 day ago

visakhapatnam, India beBeeSecurity Full time

Job Opportunity:We are seeking a seasoned AI Security Lead to establish and govern security best practices across our AI, Data, and Digital portfolios. This role involves building the AI security foundation for the organization, defining frameworks, ensuring compliance, and guiding the secure design and deployment of AI products.Main Responsibilities:Establish and lead AI security function: develop and implement the organization's AI security strategy, governance model, operational practices, and ensure seamless integration with broader enterprise security frameworks.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.Collaborate cross-functionally: work closely with data, digital, and infrastructure security teams to embed AI security within broader enterprise security frameworks.Governance & compliance: define policies to address 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, application/product security, or cloud 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) 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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