• Design, implement, maintain, and improve security platforms and tools that protect the organization’s IT infrastructure. • Optimize security technologies to detect, prevent, and respond to security threats in real time. • Collaborate with engineering, IT, and security operations teams to deploy and support enterprise cybersecurity platforms and solutions. • Secure in-house and public AI and ML/DL systems against cyber threats, adversarial attacks, and data breaches across the solution lifecycle. • Design and implement robust security platforms supporting enterprise security needs (e.g., unified telemetry pipeline like BindPlane, SIEM like QRadar, SecOps, and AI security). • Define and maintain guidelines and controls to secure AI systems, including data protection, model security, and compliance requirements. • Apply established frameworks as references/baselines (e.g., Google Secure AI Framework (SAIF), NIST AI Risk Management Framework, Framework for AI Cybersecurity Practices (FAICP)). • Identify, assess, and mitigate AI-specific security risks (adversarial attacks, data poisoning, model inversion, unauthorized access). • Conduct vulnerability assessments and penetration testing on AI models and data pipelines. • Ensure AI data is encrypted, anonymized, and securely stored. • Implement access controls for sensitive AI data and models (RBAC, ABAC, Zero Trust). • Protect AI models from tampering, theft, and adversarial manipulation during training and deployment. • Monitor and log AI system activity for anomalies and security incidents. • Develop and enforce policies to align AI systems with industry regulations, ethical standards, and organizational governance requirements. • Develop automated workflows and scripts to enhance security platform functionality and scalability, improving operational efficiency. • Manage timely patching and upgrades to security tools and systems to reduce downtime and minimize vulnerabilities. • Configure alerting systems for security threats and enable real-time monitoring for observability. • Partner with incident response teams to identify, contain, and mitigate security incidents. • Support root cause analysis to improve security posture and prevent repeat breaches. • Optimize security tools and platforms for performance and effectiveness while meeting compliance and organizational requirements. • Maintain documentation for platform configurations, AI services and capabilities, troubleshooting guides, and operational procedures.