AI Security and Governance Architect Lead Software Security Architect

AI Security and Governance Architect - Lead Software Security Architect

Hyderabad / Remote

The AI Security and Governance Architect plays a critical role in safeguarding the companys 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 organizations 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.

• Bachelors 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.

• 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.

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 Hylands 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 Hylands platform and services please visit .

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