Summary

As an AI Security Engineer, you will be responsible for integrating AI and machine learning into our security and compliance processes. You will work closely with the Security, Compliance, and Infrastructure teams to design, develop, and implement AI-driven automation to enhance our security posture. Your efforts will help us proactively identify vulnerabilities, automate compliance enforcement, and improve threat detection and response capabilities.

Responsibilities:

• AI-Driven Security Automation: Develop and implement AI-powered automation tools to detect, analyze, and mitigate security threats in real-time.
• Compliance Monitoring & Enforcement: Utilize AI/ML to automate compliance monitoring, ensuring adherence to regulatory and industry standards such as SOC 2, ISO 27001, and GDPR.
• Threat Intelligence & Anomaly Detection: Leverage AI to analyze network and system activity, identifying abnormal behavior patterns and potential security breaches before they escalate.
• Continuous Risk Assessment: Develop machine learning models that continuously assess security risks across cloud and on-premise environments, providing real-time insights and recommendations.
• Identity and Access Management (IAM): Implement AI-based analytics to detect anomalous access patterns and enforce dynamic access control policies.
• End-to-End Security Integration: Collaborate with Security, DevOps, and Compliance teams to integrate AI solutions into security monitoring, log analysis, and vulnerability management tools.
• Self-Healing Security Systems: Design and implement AI-driven remediation mechanisms that can automatically patch vulnerabilities and mitigate security risks.
• Data Protection & Encryption: Apply AI techniques to enhance data protection strategies, detecting unauthorized access and preventing data exfiltration.
• Security Posture Optimization: Continuously evaluate and refine AI-driven security models to adapt to emerging threats and evolving compliance requirements.

Requirements:

• 5+ years of experience in Security Engineering, Compliance, or DevSecOps roles with a focus on automation.
• Strong understanding of cybersecurity principles, compliance frameworks, and risk management.
• Hands-on experience in applying AI/ML techniques to security and compliance challenges.
• Proficiency in Python, with experience developing security automation scripts.
• Familiarity with cloud security best practices across AWS, GCP, or Azure.
• Knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Experience with infrastructure automation tools (Terraform, Ansible) for security enforcement.
• Understanding of identity and access management, zero-trust security models, and behavioral analytics.
• Familiarity with CI/CD security integrations and DevSecOps methodologies.

Preferred Qualifications:

• Certifications in Security (CISSP, CEH, OSCP) or Cloud Security (AWS Security Specialty, GCP Professional Security Engineer).
• Experience with AI-driven security platforms such as Darktrace, Vectra AI, or Exabeam.
• Knowledge of cryptography, secure coding practices, and application security.
• Hands-on experience implementing AI-enhanced threat detection systems.
• Experience in security governance and compliance automation.

Skills

• Machine learning 
• Programming language (R, Python, Scala, Matlab)