Piper Companies is seeking a Security Architect – AI Governance for a world leading technology organization based in the Raleigh-Durham, North Carolina area. The ideal candidate for the Security Architect – AI Governance will have deep experience in cybersecurity architecture and a strong understanding of AI governance frameworks, compliance, and risk management in cloud-based environments. The Security Architect – AI Governance role is remote or onsite in RTP, NC.

Responsibilities for the Security Architect – AI Governance include:

• Design and implement secure cloud-native architectures with a focus on AI/ML systems
• Develop and enforce AI governance policies including model risk management, data privacy, and ethical AI use
• Conduct threat modeling and risk assessments for AI-driven applications
• Collaborate with engineering, data science, and legal teams to ensure compliance with global AI regulations (e.g., EU AI Act, NIST AI RMF)
• Lead security reviews and audits of AI systems and infrastructure
• Mentor teams on secure development practices and responsible AI principles

Requirements for the Security Architect – AI Governance include:

• 7+ years of experience in cybersecurity architecture, including work with AI/ML systems
• Strong background in cloud security (AWS, Azure, or GCP)
• Experience implementing AI governance frameworks or model risk management strategies
• Familiarity with regulatory standards such as GDPR, HIPAA, SOC 2, and emerging AI legislation
• Excellent communication and stakeholder management skills
• Bachelor’s or Master’s degree in Cybersecurity, Computer Science, or related field

Compensation for the Security Architect – AI Governance:

• $145,000–$190,000 annually
• Full comprehensive benefits package including medical, dental, vision, 401(k), PTO, and sick leave as required by law
• This job opens for applications on August 22, 2025. Applications will be accepted for at least 30 days from the posting date.

Keywords: Security Architect, AI Governance, Cybersecurity, Cloud Security, DevSecOps, Risk Management, Compliance, ML Security

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• Design and implement secure cloud-native architectures with a focus on AI/ML systems
• Develop and enforce AI governance policies including model risk management, data privacy, and ethical AI use
• Conduct threat modeling and risk assessments for AI-driven applications
• Collaborate with engineering, data science, and legal teams to ensure compliance with global AI regulations (e.g., EU AI Act, NIST AI RMF)
• Lead security reviews and audits of AI systems and infrastructure
• Mentor teams on secure development practices and responsible AI principle