remoteonsite
AI Security and Governance Architect - Lead Software Security Architect - Hyland
Software Engineer
Lead the design and implementation of secure AI and ML systems, ensuring compliance with cybersecurity and regulatory standards while fostering responsible AI practices across the organization.
About the role
Key Responsibilities
- Architect and enforce secure design principles for AI and ML products throughout the development lifecycle.
- Collaborate with product, data science, compliance, and legal teams to establish AI governance frameworks and ethical guidelines.
- Conduct risk assessments, threat modeling, and security reviews for AI-enabled solutions.
- Develop and maintain policies that align AI initiatives with cybersecurity best practices and regulatory requirements.
- Lead incident response and remediation efforts for AI-related security incidents.
- Educate cross‑functional teams on secure AI development and compliance obligations.
Requirements
- Extensive experience in software security architecture, with a focus on AI/ML systems.
- Deep understanding of cybersecurity frameworks (e.g., NIST, ISO 27001) and AI regulatory landscapes.
- Proven track record in risk management, threat modeling, and secure coding practices.
- Strong communication skills to translate technical security concepts to non‑technical stakeholders.
- Experience with cloud security (AWS, Azure, GCP) and secure DevOps pipelines is a plus.