Information Security Architect - AI

An AI Security Architect is responsible for designing and implementing robust security frameworks for AI systems, ensuring their protection against adversarial attacks, data breaches, and ethical issues. This role involves developing secure deployment strategies for AI models, particularly focusing on generative AI's unique risks, such as content generation and privacy concerns. They work closely with data scientists and engineers to integrate security measures throughout the AI lifecycle, from development to deployment. Additionally, the AI Security Architect ensures compliance with regulatory standards and promotes ethical AI use, maintaining the integrity and trustworthiness of AI solutions.Responsibilities

Lead AI working groups to design cybersecurity processes that enhance the enterprise’s ability to develop and implement secure AI solutions, aligning with business, technological, and threat considerations.Work with AI architects and developers to integrate security practices into the AI development lifecycle.Develop and implement data protection and AI security strategies to ensure the confidentiality, integrity, and availability of our data and AI systems throughout their lifecycle.Design and implement security solutions and controls tailored to the unique challenges of AI and ML applications.Conduct threat modeling exercises to identify potential security risks and vulnerabilities in AI systems, working closely with AI development teams to integrate security into the design and development processes.Monitor and analyze data protection and AI security metrics to identify areas for improvement and drive continuous enhancement of our processes and procedures.Utilize advanced testing methodologies and tools, such as adversarial testing, penetration testing, and vulnerability scanning, to assess the resilience and security posture of AI solutions against emerging threats and attack vectors.Lead investigations into security incidents and provide recommendations for preventive measures.Lead internal efforts to incorporate AI capabilities within the security organizations to enhance existing capabilities of security platforms and processes.Ensure AI systems comply with relevant national and state data protection and privacy laws.Apply security standards and frameworks, such as HITRUST and NIST to AI projects.Stay current on the latest data protection and AI security best practices and regulations, and proactively make recommendations for improvement.Collaborate with cross-functional teams to ensure data protection and AI security measures are integrated into all aspects of our AI systems and processes. Provide guidance and support to project teams to ensure that data protection and AI security requirements are met throughout the project lifecycle.Complete all responsibilities as outlined in the annual performance review and/or goal setting.Complete all special projects and other duties as assigned.Qualifications

Bachelor’s degree in computer science, Cybersecurity, Data Science, or a related field.Minimum of 12 years of experience in Cybersecurity domains including application security, security architecture, network security, and data protection.Strong knowledge of AI technologies and governance principles and their inherent security risks, machine learning models, adversarial attacks, and data privacy regulations.Excellent analytical skills to identify and address security vulnerabilities in AI systemsExcellent communication and leadership skills to work across diverse teams.Relevant certifications like CISSP, CISM, CRISC, or AI ethics/security credentials are a plus.We are looking for a driven individual with a deep understanding of data protection and AI security best practices, as well as a strong background in cybersecurity

#J-18808-Ljbffr