Key Responsibilities:

• Design and architect security solutions: Create and implement comprehensive security architectures for cloud-native applications and AI/ML workloads on the AWS platform, aligning with best practices like the AWS Security Reference Architecture.

• Secure AI/ML lifecycle: Integrate security controls throughout the entire AI/ML development and deployment lifecycle, including data protection, model integrity, and secure MLOps practices.

• Conduct threat modeling: Perform risk assessments and threat modeling specifically for AI systems, identifying potential vulnerabilities such as adversarial attacks, data poisoning, and model inversion.

• Implement cloud security controls: Enforce robust security measures on AWS, leveraging services like AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), Amazon GuardDuty, and Amazon Macie.

• Develop AI security mitigation strategies: Design defenses against AI-specific threats, including securing models and data from manipulation, injection, and exfiltration.

• Ensure compliance: Translate business requirements and regulatory standards into practical, compliant cloud and AI security controls.

• Automate security: Utilize Infrastructure as Code and scripting languages like Python to automate security provisioning and integrate security seamlessly into CI/CD pipelines.

• Lead and mentor: Provide technical leadership, mentorship, and guidance to security engineers, data scientists, and development teams.

• Communicate effectively: Explain complex security issues and strategies to both technical and non-technical stakeholders, including senior leadership.

• Respond to incidents: Lead response efforts for security incidents, with a specific focus on those involving AI systems or the AWS cloud environment.