Note: The job is a remote job and is open to candidates in USA. 66degrees is an AI transformation partner helping enterprises apply cloud, artificial intelligence, and data to business challenges. The Security Operations AI Engineer will support information security operations, incident response, security engineering, AI governance, and tooling for AI/ML systems, with a focus on generative AI threats and vulnerabilities.
Responsibilities
- Manages and is responsible for the successful completion of all tasks in assigned projects
- Contribute to the Security Operations and Engineering Team focused on maintaining the security integrity of the client's mission critical suite of applications
- Available 24/7 for any critical security incident response that may arise which requires immediate resolution
- Work to ensure security tooling within environments is operational and operating at needed levels of service and availability
- Ensure operational practices provide a sound foundation that utilizes tools and processes for rapid identification of security events to address and mitigate risks
- Assist in Plan, organize, and execute multiple responsibilities to achieve project goals and provide technical leadership to move operational projects to completion
- Contribute to security requirements, standards, procedures, and reference architectures to comply with policies and technical standards
- Develop and maintain incident response playbooks specific to AI/ML security threats including prompt injection, model poisoning, data exfiltration, and adversarial attacks
- Monitor and secure generative AI systems, large language models (LLMs), and AI-powered applications within environments
- Contribute to AI governance frameworks and policies ensuring responsible AI practices and compliance with AI-specific security standards
- Analyze and evaluate security implications of new AI/ML tools and platforms before deployment to production environments
- Participate in AI threat intelligence activities and stay current with emerging AI security vulnerabilities and attack methodologies
- Conduct post-incident analysis for AI-related security events and develop preventive measures specific to AI threat vectors
- Review and validate AI model security properties, including robustness against adversarial inputs and data privacy protections
Skills
- Bachelor's degree in technology or applicable experience
- 5+ Years of experience within information security operations in multiple roles
- 3+ years of experience with security incident response and operations
- 2+ years of experience with AI/ML security, including securing LLMs, generative AI systems, and machine learning pipelines
- Extensive experience with, but not excluded to: TCP/IP, DNS, WAF, SEIM, and SOAR technologies
- Experience with PowerShell, python, and shell scripting
- Knowledge of information security standards, principles, and practices required
- Knowledge of emerging AI security standards and frameworks (NIST AI RMF, ISO/IEC 42001, industry- specific AI governance guidelines)
- Experience with AI threat modeling, adversarial attack vectors, and AI-specific vulnerability assessments
- Understanding of AI governance frameworks, model validation, and responsible AI principles
- Familiarity with common AI/ML security concerns including prompt injection, model poisoning, data poisoning, and membership inference attacks
- Ability to work independently and in a team environment
- Please note, we cannot sponsor or transfer any visas, of any kind, at this time
- Related certifications (e.g., GSEC, CISSP, GIAC, AWS) preferred
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