Software Security Architect 4 (AI Security and Governance Architect)

Overview

Hyland Software is widely known as a great company to work for and a great company to do business with. Being a leader in providing software solution for managing content, processes, and cases for organizations across the globe we enabled more than 20,000 organizations to digitalize their workplaces and transform their operations.

Currently we are looking for the position of Software Security Architect 4

The Software Security Architect 4 plays a critical role in safeguarding the company's products and services by ensuring secure design rigorous testing and proactive vulnerability management. This position will work closely to promote secure coding practices and identify potential risks.

The AI Security and Governance Architect plays a critical role in safeguarding the company’s software, AI, and machine learning (ML) systems by ensuring secure design, ethical governance, and proactive risk management across the AI lifecycle. This position leads efforts to align AI development and deployment with both cybersecurity and regulatory frameworks, fostering a culture of responsible AI use and compliance.

You will collaborate closely with product, data science, compliance, and legal teams to establish standards for AI security, model governance, and ethical use of emerging technologies.

• AI Security & Governance

  • Define and implement the organization’s AI security and governance framework, incorporating best practices from NIST AI RMF, ISO/IEC 23894, and relevant regional regulations such as the EU AI Act.
  • Develop and enforce AI governance policies that align with internal risk appetite, ethical standards, and external regulatory obligations.
  • Identify, assess, and mitigate AI-specific risks including model bias, adversarial attacks, data leakage, model inversion, and poisoning.
  • Establish secure ML lifecycle practices including data sanitization, model hardening, explainability, and continuous monitoring for model drift and degradation.
  • Collaborate with compliance and legal partners to maintain awareness of AI-related laws and standards (e.g., GDPR, Algorithmic Accountability Act).

  Security Architecture & Risk Management

  • Maintain and evolve threat models for AI and software systems, ensuring they remain current, comprehensive, and risk-informed.
  • Lead reviews of software and model architectures to ensure compliance with established security and AI governance standards.
  • Regularly assess and prioritize remediation of vulnerabilities in both internally developed and third-party AI components.
  • Ensure security verification tools and AI audit mechanisms are effective, consistent, and automated where possible.

  Governance, Monitoring, and Incident Response

  • Design and oversee AI auditing and monitoring programs to ensure ethical and secure use of AI models post-deployment.
  • Develop AI-specific incident response playbooks and lead investigations into security or ethics-related AI failures.
  • Implement governance tooling and automation, leveraging ModelOps or compliance platforms (e.g., MLflow, OpenScale, Credo AI) to streamline audit logging and compliance checks.

  Education, Culture, and Leadership

  • Define and deliver education programs for engineers, data scientists, and testers on secure AI and software development practices.
  • Foster a culture of ethical and responsible AI innovation, ensuring teams balance speed with security and compliance.
  • Mentor and coach peers, providing feedback on best practices for AI governance and security-by-design.
  • Act as a trusted advisor to leadership and cross-functional stakeholders on AI trends, risks, and emerging regulatory impacts.
• Comply with all corporate and departmental privacy and data security policies and practices, including but not limited to, Hyland’s Information Systems Security Policy.

• Bachelor’s degree in Computer Science, Data Science, Information Security, or a related field.
• Minimum 8 years of progressive security architecture experience, with at least 3+ years in AI/ML system security, governance, or compliance.
• Strong understanding of secure development practices, cloud security (AWS/Azure/GCP), and compliance frameworks such as SOC 2, GDPR, and NIST.
• Hands-on experience with AI/ML pipelines, including data preparation, model deployment, and monitoring.
• Experience with SAST, DAST, SCA, and AI governance tools.
• Familiarity with AI ethics, fairness, and bias mitigation techniques.
• Demonstrated ability to translate technical AI risks into business language for non-technical stakeholders.

Core Competencies

• Strong leadership, communication, and influence skills across technical and non-technical teams.
• Deep understanding of threat modeling, compliance integration, and risk assessment.
• Demonstrated ability to handle sensitive and ethical issues with discretion and integrity.
• Excellent organizational, analytical, and critical-thinking skills with the ability to manage multiple priorities.
• Self-motivated, proactive, and capable of driving programs independently.

Hyland’s Offering

We’re proud of our culture and take employee engagement seriously. By listening to employees’ feedback, we’re able to provide meaningful benefits and programs to our workforce.

• Learning & Development- development budget (used for certifications, conferences etc..), tuition assistance program, 4,000+ self-paced online courses, instructor-led webinars, mentorship programs, structured on-boarding experience full of trainings, dedicated Learning & Development department supporting our employees.
• R&D focus – cutting edge technologies, constant modernization efforts, dynamic and innovative environment, dedicated R&D Education Services department to help you grow.
• Work-life balance culture– flexible work environment and working hours (we are working in task-based system!), possibility to work from home, we value trust, and we believe efficiency does not depend on your actual location, however we would like to spend time together in the office! 
• Well-being- private medical healthcare, life insurance, gym reimbursement.
• Community Engagement– Volunteer time off (24h/year).
• Diversity & Inclusion– employee resource groups, inclusion benefits and policies
• Niceties & Events– snacks and beverages, employee referral program,  birthday, baby gifts and employee programs

 If you would like to join the company where honesty, integrity and fairness lie in the bottom of values, where people are truly passionate about technology and dedicated to their work – connect with us!

We are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, marital status, gender identity or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. The information collected by this application is solely to determine suitability for employment, verify identity and maintain employment statistics on applicants.

• Experience implementing AI risk management frameworks (NIST AI RMF, ISO/IEC 23894, EU AI Act classifications).
• Scripting and automation skills (e.g., Python, PowerShell, or Java).
• Experience with policy development and cross-functional AI governance committees.