Senior AI Ethics & Compliance Lead - Hybrid, Midrand

Placements24; Midrand; Hybrid; ZAR 1,200,000 - 1,600,000; Full time

Job summary

Placements24 is seeking a Senior AI Ethics and Compliance Specialist in Midrand, Gauteng. The role focuses on shaping and enforcing ethical guidelines and regulatory frameworks for AI technologies, ensuring responsible, fair, and transparent AI deployments.

You will lead policy development, risk assessments, cross-functional collaboration, and regulatory monitoring while delivering training to internal teams. A strong background in AI ethics, data privacy, and compliance is essential.

Qualifications

• Master's or PhD in a relevant field.
• 5-7 years of experience in AI ethics, regulatory compliance or risk management.
• Familiarity with data protection laws (e.g., POPIA) and AI regulations.

Responsibilities

• Develop, implement, and maintain AI ethics policies and compliance programs.
• Conduct ethical risk assessments for new AI projects.
• Collaborate with legal, engineering, and product teams to ensure AI alignment with standards and regulations.
• Monitor emerging AI regulations and provide actionable insights.
• Design and deliver training on AI ethics and responsible AI development to stakeholders.
• Investigate and address ethical concerns or compliance breaches in AI systems.
• Advise on data privacy and security implications within AI frameworks.
• Stay updated on research in AI ethics, fairness, accountability and transparency (FAccT).

Skills

AI ethics

Regulatory compliance

Risk management

Analytical skills

Communication skills

Data privacy (POPIA)

Education

Master's degree or PhD in Computer Science, Ethics, Law, Public Policy

Job description

Placements24 is seeking a Senior AI Ethics and Compliance Specialist in Midrand, Gauteng. The role focuses on shaping and enforcing ethical guidelines and regulatory frameworks for AI technologies, ensuring responsible, fair, and transparent AI deployments.

You will lead policy development, risk assessments, cross-functional collaboration, and regulatory monitoring while delivering training to internal teams. A strong background in AI ethics, data privacy, and compliance is essential.