66degrees

Security Operations

• Manage and complete all tasks in assigned projects
• Contribute to the Security Operations and Engineering Team maintaining the security integrity of mission-critical applications
• Provide 24/7 critical security incident response when immediate resolution is required
• Ensure security tooling is operational and meets service and availability requirements
• Establish operational practices, tools, and processes for rapid identification and mitigation of security events
• Plan, organize, and execute responsibilities to achieve project goals and provide technical leadership
• Contribute to security requirements, standards, procedures, and reference architectures
• Develop and maintain AI/ML security incident response playbooks and detection logic
• Monitor and secure generative AI systems, LLMs, and AI-powered applications
• Contribute to AI governance frameworks and policies
• Analyze security implications of AI/ML tools and platforms before production deployment
• Participate in AI threat intelligence activities
• Conduct post-incident analysis and develop preventive measures for AI security events
• Review and validate AI model robustness against adversarial inputs and data privacy protections
• Build and maintain AI operations tooling, pipelines, and telemetry supporting secure AI/ML deployment
• Configure AI/ML telemetry and logging for security detection and forensic analysis

Security Operations AI Engineer – Contract

• Manage and complete all tasks in assigned projects
• Contribute to the Security Operations and Engineering Team maintaining security integrity of mission-critical applications
• Provide 24/7 response to critical security incidents requiring immediate resolution
• Maintain security tooling at required service and availability levels
• Establish operational practices, tools, and processes for rapid security-event identification and risk mitigation
• Plan, organize, and execute responsibilities to achieve project goals and provide technical leadership
• Contribute to security requirements, standards, procedures, and reference architectures
• Develop and maintain AI/ML security incident-response playbooks and detection logic
• Monitor and secure generative AI systems, LLMs, and AI-powered applications
• Contribute to AI governance frameworks and policies
• Analyze security implications of new AI/ML tools and platforms before production deployment
• Participate in AI threat intelligence activities
• Conduct post-incident analysis and develop preventive measures for AI-related security events
• Configure AI/ML telemetry and logging for security detection and forensic analysis
• Review and validate AI model security properties, adversarial robustness, and data privacy protections