Sr Cybersecurity Engineer I

Focus: Responsible for the development and or delivery of AI/ML security initiatives, projects, or programs that have objectives associated with incorporating AI safety controls, adversarial robustness, and stress testing of AI/ML systems Responsible for designing and implementing processes to understand, measure, and improve the organization’s ability to protect AI/ML models, implement AI safety controls for responsible use of LLM (Large Language Model) applications.

Key Responsibilities

• Implement secure model development life cycle practices with automated white box and black box assessments for AI/ML models.
• Deliver and integrate AI robustness, vulnerability, and stress testing capabilities with MLOps ecosystems.
• Evaluate and assess open-source AI security libraries to build into enterprise AI stress testing and audit capabilities.
• Implement end-to-end LLM security risk management processes and automated protections.
• Incorporate machine learning models into diverse application security tooling and processes.
• Support production deployments of AI/ML safety systems using cloud-native packaging and deployment techniques suchas containers, serverless, CI/CD and APIs.
• Establish and govern AI/ML and Generative AI application security standards.
• Provide production support and operations for AI/ML security systems.
• Manage cloud deployments and automation frameworks in cloud for AI/ML security systems.