Principal Architect - GenAI Cybersecurity

We are looking for Principal Cybersecurity Architect to lead our GenAI security strategy, embedding Secure SDLC practices and mitigating risks in line with OWASP Top 10. The role demands a visionary with a strong cybersecurity background and a track record in architecting secure AI-driven software systems.

Position Overview:
The Principal Architect in GenAI Security will lead the Advanced Technology cybersecurity architecture efforts with a focus on Generative AI (GenAI) systems and the integration of Secure Software Development Life Cycle (Secure SDLC) practices. This senior role requires a strategic visionary with a wealth of experience in designing robust security frameworks and implementing security best practices across complex AI-driven environments. The architect will ensure that all phases of software development are infused with security measures that align with industry standards and regulatory requirements.

Key Responsibilities:

• Define and evolve the organization's security architecture strategy, with a focus on incorporating Secure SDLC methodologies into Generative AI and machine learning projects.
• Lead the development of security architectures that address the unique challenges of AI systems while aligning with the OWASP Top 10 for Large Language Model Applications.
• Collaborate with cross-functional teams, including software development, AI research, and operations, to embed security into all stages of the SDLC, from initial design to deployment and maintenance.
• Champion a culture of security by design, ensuring that security is an integral part of the software engineering process, including the adoption of security automation and orchestration tools.
• Drive the adoption of security best practices and patterns for AI development, such as threat modeling, code reviews, static and dynamic analysis, and penetration testing within the SDLC.
• Provide mentorship and leadership in the development of security standards, guidelines, and procedures that support Secure SDLC practices.
• Keep abreast of emerging security threats, especially those targeting AI technologies, and adjust the security architecture to mitigate these risks proactively.
• Oversee the integration of advanced security tools and techniques, such as AI-specific static analysis tools, to prevent vulnerabilities in machine learning code and configurations.
• Lead security reviews and architecture assessments for new and existing AI projects, ensuring compliance with internal policies and external regulations.
• Develop comprehensive metrics and reporting frameworks to measure the effectiveness of Secure SDLC practices and the overall security posture of AI initiatives.
• Represent the organization in external forums, working groups, and conferences to share knowledge and stay informed about the latest trends in AI security and Secure SDLC.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Security, AI, or a related field, or equivalent professional experience with a focus on AI and cybersecurity architecture.
• Professional security certifications such as CISSP-ISSAP, CSSLP, or other relevant credentials focused on security architecture and secure software development.
• A minimum of 10 years of experience in cybersecurity, with at least 5 years in a security architecture role, including extensive experience with Secure SDLC practices.
• Proven track record of developing and implementing security architectures for complex, AI-driven environments.
• Deep understanding of the OWASP Top 10, particularly as it applies to AI and web applications, with a demonstrated ability to mitigate these risks through architectural design.
• Strong leadership skills with the ability to influence and drive security initiatives across multiple departments and levels of the organization.
• Exceptional communication skills, with the ability to articulate complex security concepts to a variety of stakeholders, including technical teams, executive management, and non-technical audiences.
• Hands-on experience with modern software development practices, DevSecOps tools and methodologies, and automated security testing in a CI/CD pipeline.

Preferred Skills:

• Advanced knowledge of AI technologies and the security landscape surrounding machine learning and generative models.
• Experience with cloud security architectures, particularly in environments that leverage AI services from major cloud providers.
• Familiarity with regulations and standards that impact AI security, such as GDPR, HIPAA, CCPA, and industry-specific guidelines.
• Involvement in the security community, with contributions to security standards development, public speaking

About Our Team:

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