AI Security and Governance Architect - Lead Software Security Architect
đź“Ť Hyderabad / Remote
About the Role
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.
Your Role Responsibilities — Here's What You'll Do
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.
Role Essentials — What You Bring
- 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.
What We'd Like to See — Preferred Skills
- 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.
- Certifications such as CCSP, CISSP, or AI Governance/Responsible AI credentials.
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.
About Hyland
Hyland is the pioneer of the Content Innovation Cloud™, delivering ubiquitous enterprise intelligence to organizations with solutions that unlock actionable insights and drive automation.
Trusted by thousands of organizations worldwide, including many of the Fortune 100, Hyland's solutions create the foundation for a connected, agentic enterprise, where teams harness the power of AI to redefine how they operate and engage with those they serve. For additional information on Hyland's platform and services, please visit Hyland.com.
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About Hyland Life
#HylandLife
Since 1991, it has been Hyland's mission to help our employees, customers and partners exceed their potential with our industry-leading content services platform. Our employees exude a contagious energy and are passionate about what they do – whether it's helping customers succeed, raising up their fellow Hylanders, or engaging in the communities where they live and work.
The #HylandLife hashtag encompasses our employee-centric culture. Our employees live our culture day in and day out by bringing their best self to work. Hyland supports them to do just that through career development resources, wellbeing programs and innovation practices. We thrive on diverse viewpoints and new ideas and believe that a positive, inclusive workplace is imperative to sustainable success.
As we've grown to a company of nearly 4,000 strong, we have the opportunity to make a significant impact on our communities. We strongly support employee initiatives and align our giving campaigns and programs to organizations that are important to them.
Equal Opportunity Statement
Hyland is an equal opportunity employer. We value diversity and are committed to providing an inclusive workplace for all employees and applicants. Employment decisions are made without regard to any characteristic protected by applicable laws and regulations. Information collected during the hiring process is used solely to assess qualifications, verify identity, and comply with legal requirements.
