AI & Cloud Security Engineer

AI & Cloud Security Engineer

Requirements

• AI Architecture
• Cloud Security
• Cyber Infrastructure
• Threat and Vulnerability Management
• 8+ years of related experience
• Foundational knowledge and/or certifications in cloud technologies (ex. Azure, AWS, etc)
• Knowledge of AI/ML Frameworks (ex. Azure AI Studio, AWS Bedrock, AWS Sagemaker, MLFlow, PyTorch, TensorFlow, Scikit-learn, HuggingFace)
• Ability to identify cyber risks, create a remediation plan, and track through resolution
• Ability to document risks and present them to leadership team

Responsibilities

• Develop and maintain security architecture for AI/ML and cloud-based systems, considering data security, platform security, model integrity, adversarial attacks, and compliance requirements (NIST, DFARS, etc)
• Collaborate with Infrastructure, AI/ML engineers, and developers to implement security controls and best practices for new and existing environments and applications
• Provide security expertise and guidance throughout the entire project lifecycle (e.g., AI/ML, cloud), from initial concept and design, to deployment, and maintenance
• Partner with GRC team to conduct thorough threat modeling and risk assessments specific to cloud and AI/ML applications to identify potential risks and mitigation strategies
• Ensure AI/ML and cloud projects adhere to relevant security policies, standards, and regulatory frameworks
• Partner with IT Architects to design and maintain comprehensive security documentation, including architecture diagrams and standard operating procedures
• Stay abreast of the latest advancements in AI/ML, cybersecurity threats, and security best practices

Preferred Qualifications

No preferred qualifications provided.