This specialist combines expertise in cybersecurity and AI/ML to design, implement, and maintain security frameworks, ensuring the integrity, confidentiality, and compliance of AI-driven solutions throughout their lifecycle. This also involves collaboration with cross-functional, stakeholders and AI Engineers to build and deploy enterprise-wide AI security framework. + Design and maintain structured guidelines and controls to secure AI systems, covering data protection, model security, and compliance requirements. + Evaluate and utilize established frameworks such as Google’s Secure AI Framework (SAIF), NIST AI Risk Management Framework, or the Framework for AI Cybersecurity Practices (FAICP) as references or baselines. + Identify, assess, and mitigate security risks specific to AI, including adversarial attacks, data poisoning, model inversion, and unauthorized access. + Conduct regular vulnerability assessments and penetration testing on AI models and data pipelines. + Ensure data used in AI systems is encrypted, anonymized, and securely stored. + Implement robust access controls (e.g., RBAC, ABAC, Zero Trust) for sensitive AI data and models + Protect AI models from tampering, theft, or adversarial manipulation during training and deployment. + Monitor and log AI system activity for anomalies or security incidents + Develop and enforce policies to ensure AI systems adhere to industry regulations, ethical standards, and organizational governance requirements. + Promote transparency, explainability, and fairness in AI models. + Establish real-time monitoring and advanced threat detection for AI systems. + Develop and maintain an AI incident response plan for prompt mitigation and recovery. + Educate teams on AI security best practices and foster a security-aware culture. + Collaborate with IT, data science, compliance, and business units to align AI security with organizational goals. + **Technical Skills** : + Strong understanding of AI/ML concepts, architectures, and security challenges. + Strong programming skills in Python, R, or similar languages. + Strong experience in Google Cloud Platform (GCP) or equivalent. + Solid understanding of machine learning algorithms, neural networks, NLP, and computer vision. + Experience with cloud AI/ML services and deployment pipelines is a plus. + Experience with security frameworks (e.g., SAIF, NIST, FAICP) and regulatory compliance. + Proficiency in data protection techniques, encryption, and secure access management. + Familiarity with adversarial machine learning, model hardening, and input sanitization. + Knowledge of incident response, monitoring tools, and threat intelligence platforms. + Excellent communication and documentation skills for policy development and stakeholder engagement. + **Experience** : + Bachelor’s or Master’s degree in computer science, Data Science, Engineering, or a related field. + 5+ years in AI/ML roles, including hands-on model development and deployment. + Track record of delivering AI solutions that drive business value. + **Certifications** : + Relevant certifications such as CAISF, AICERTs, AI for Cybersecurity Specialization or equivalent. + GCP Cloud certification or equivalent in AWS or Azure (preferred). + Cybersecurity certificates (preferred). **Requisition ID** : 46782