AI Privacy Engineer for GenAI & ML

Amidel; Johannesburg; Hybrid; ZAR 1,000,000 - 1,150,000; Full time

Job summary

NTT DATA is seeking a Data Privacy Senior Specialist – AI to lead privacy governance across AI/ML initiatives. You will review AI architectures, partner with security and enterprise teams, and ensure privacy by design in data processing ecosystems and cross-border data flows.

The role requires deep expertise in privacy engineering, regulatory compliance, and technology risk management across cloud-native environments and AI platforms.

Qualifications

• Bachelor's degree or appropriate qualification.
• 5+ years' experience in Data Privacy, Information Security, or related fields.
• Experience reviewing complex enterprise, cloud, or AI architectures.
• Experience advising on AI, analytics, automation, or emerging technologies.
• Strong understanding of cloud-native technologies, SaaS platforms, APIs, data integrations, and modern software delivery practices.

Responsibilities

• Act as the lead privacy advisor for AI and emerging tech globally.
• Review AI use cases for privacy and regulatory compliance.
• Partner with Enterprise Architecture and Information Security Architecture teams to establish privacy governance controls.
• Define and maintain privacy architecture patterns for AI-enabled systems and services.
• Assess privacy risks in LLMs, foundation models, data processing ecosystems, and AI integrations.
• Provide technical guidance on PETs, anonymisation, encryption, tokenisation, differential privacy, and secure AI design practices.

Education

Bachelor's degree or appropriate qualification

Job description

NTT DATA is seeking a Data Privacy Senior Specialist – AI to lead privacy governance across AI/ML initiatives. You will review AI architectures, partner with security and enterprise teams, and ensure privacy by design in data processing ecosystems and cross-border data flows.

The role requires deep expertise in privacy engineering, regulatory compliance, and technology risk management across cloud-native environments and AI platforms.