Secure AI Security & Privacy Architect

NTT Global Data Centers; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

NTT Global Data Centers is seeking an AI Security & Privacy Architect to own security architecture for AI/ML products and enterprise AI platforms. You will embed secure-by-design and privacy-by-design controls across the AI lifecycle to deliver trustworthy, audit-ready AI solutions.

The role requires a strong engineering foundation, governance experience, and the ability to lead cross-functional initiatives from scoping to delivery in a global data center environment.

Qualifications

• Bachelor’s degree or equivalent in Information Security is required.
• Certifications such as CISSP, CISM, CEH, SANS/GIAC, or CompTIA Security+ are preferred.
• Seasoned industry experience in a similar architecture role.
• Experience in security compliance and hands-on security skills.
• Experience leading multi-team environments across geographies and time zones.

Responsibilities

• Provide technical consulting in multi-platform IT environments and assess complex requirements.
• Define requirements and optimum design for subsequent development.
• Provide security architecture and risk guidance for projects and products.
• Develop layered defense strategy and lead security operations design.
• Execute risk assessments and security reviews to assess critical applications.
• Ensure compliance with data security laws, regulations and customer requirements.
• Lead information security risk assessments and controls selection activities.

Skills

Security architecture

Risk management

Project management

Cross-functional collaboration

Security compliance

Education

Bachelor’s degree or equivalent in Information Security

CISSP/CISM/CEH/SANS-GIAC/CompTIA Security+

Job description

NTT Global Data Centers is seeking an AI Security & Privacy Architect to own security architecture for AI/ML products and enterprise AI platforms. You will embed secure-by-design and privacy-by-design controls across the AI lifecycle to deliver trustworthy, audit-ready AI solutions.

The role requires a strong engineering foundation, governance experience, and the ability to lead cross-functional initiatives from scoping to delivery in a global data center environment.