AI Security and Governance Architect - Lead Software Security Architect

Role Overview

The AI Security and Governance Architect is pivotal in protecting the organization's software, AI, and machine learning systems by ensuring their secure design, ethical oversight, and risk mitigation throughout the AI lifecycle. This leadership role drives alignment of AI innovation with cybersecurity protocols and regulatory frameworks, promoting responsible AI usage and compliance.

Close collaboration is expected with product teams, data scientists, compliance officers, and legal advisors to establish robust standards for AI security, model governance, and ethical adoption of emerging technologies.

Key Responsibilities

• Design and deploy an AI security and governance framework incorporating best practices from standards such as NIST AI RMF, ISO/IEC 23894, and regional laws like the EU AI Act.
• Formulate and apply AI governance policies reflecting internal risk thresholds, ethical principles, and regulatory requirements.
• Identify and mitigate AI-centric threats including model bias, adversarial tactics, data leaks, model inversion, and poisoning attempts.
• Implement secure machine learning lifecycle procedures encompassing data sanitization, model reinforcement, explainability, and ongoing monitoring for performance shifts.
• Work alongside compliance and legal teams to stay abreast of AI-related legislation and standards (e.g., GDPR, Algorithmic Accountability Act).
• Continually update threat models for AI and software, ensuring they remain thorough and risk-aware.
• Review software and AI model architectures to verify adherence to security and governance protocols.
• Prioritize remediation of vulnerabilities found in in-house and third-party AI components.
• Ensure effectiveness and automation of security verification tools and AI auditing mechanisms.
• Oversee AI auditing and monitoring programs to maintain ethical and secure AI utilization after deployment.
• Create AI-focused incident response strategies and lead investigations regarding security breaches or ethical issues involving AI.
• Utilize governance tools and automation platforms such as ModelOps, MLflow, OpenScale, or Credo AI to streamline compliance and audit procedures.
• Develop and deliver training for engineers, data scientists, and testers focused on secure AI and software development practices.
• Promote a culture emphasizing ethical and responsible AI innovation that balances rapid development with security and compliance needs.
• Provide mentorship and guidance on AI governance and secure design best practices across teams.
• Serve as a trusted advisor on emerging AI risks, trends, and regulatory impacts to leadership and stakeholders.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Security, or a related discipline.
• At least 8 years of experience in security architecture with a minimum of 3 years specifically focused on AI/ML system security, governance, or compliance.
• Comprehensive understanding of secure development methodologies, cloud security platforms (AWS, Azure, GCP), and compliance standards like SOC 2, GDPR, and NIST.
• Practical experience managing AI/ML pipelines, including data processing, model deployment, and monitoring.
• Proficiency with security testing tools such as SAST, DAST, SCA, and AI governance solutions.
• Knowledge of AI ethics and techniques to address fairness and bias mitigation.
• Ability to effectively communicate technical AI risks in accessible terms to non-technical stakeholders.

Preferred Skills

• Expertise in implementing AI risk management frameworks like NIST AI RMF, ISO/IEC 23894, or EU AI Act classifications.
• Programming and automation skills, notably in Python, PowerShell, or Java.
• Experience in policy crafting and participation in cross-functional AI governance committees.
• Relevant certifications including CCSP, CISSP, or credentials in Responsible AI and AI Governance.

Core Competencies

• Exceptional leadership and communication capabilities that influence both technical and business teams.
• In-depth knowledge of threat modeling, compliance integration, and risk evaluation.
• Proven discretion and integrity when managing sensitive ethical challenges.
• Strong organizational and analytical skills with the ability to juggle several projects effectively.
• Highly self-driven with a proactive approach to initiating and driving programs independently.

About Hyland

Hyland is an innovator in enterprise content management, offering the Content Innovation Cloud™ to deliver pervasive intelligence across organizations. Renowned globally and trusted by Fortune 100 companies, Hyland's platform empowers teams to utilize AI capabilities to transform operational and customer engagement practices.

Culture and Commitment

Since 1991, Hyland has dedicated itself to enabling employee, customer, and partner success through its industry-leading platform. Its workforce of nearly 4,000 professionals embodies a passionate, energetic culture that values career growth, wellbeing, innovation, and inclusivity. The organization emphasizes diversity and actively supports employee-led community initiatives and charitable efforts.

Equal Opportunity

Hyland is an equal opportunity employer committed to fostering a diverse and inclusive environment. Employment decisions are made without consideration of protected characteristics. Information gathered during recruitment is exclusively used for applicant evaluation and regulatory compliance.