Overview
Provide senior thought leadership and advisory services on national AI strategies, regulatory frameworks, and AI governance models. Lead AI readiness diagnostics and country engagements, and support digital government programs by embedding AI capabilities.
Key Responsibilities
- Provide senior thought leadership on national AI strategies, regulatory frameworks, risk-based AI oversight, and AI governance models.
- Advise governments on developing enabling environments for safe and ethical AI adoption.
- Translate WBG AI related strategic priorities into country level programs and operational guidance.
- Lead AI readiness diagnostics, maturity assessments, and sector specific feasibility studies.
- Identify high value AI use cases in public service delivery, social protection, health, climate adaptation, education, procurement, and infrastructure.
- Design policy roadmaps, pilots, regulatory sandboxes, and institutional capacity building programs.
- Support DKC’s digital government programs by embedding AI capabilities.
- Lead creation of global AI knowledge assets.
- Coordinate quality assurance, peer reviews, and Knowledge Bank alignment.
- Map Korea’s AI ecosystem.
- Broker partnerships between Korea AI institutions and client countries.
- Identify scalable Korean AI innovations relevant for developing countries.
- Provide technical leadership on AI related components of World Bank lending and ASA programs.
- Contribute to development of TORs, procurement specifications, safeguards analysis, and risk frameworks for AI systems.
- Conduct M&E of pilots and national AI programs.
- Design and oversee proofs of concept and pilot deployments of AI tools.
- Assess scalability, cost effectiveness, risks, and safeguards for broader deployment.
- Monitor outcomes, sustainability, and institutional readiness.
- Represent the WBG at high level Korea AI forums, conferences, and government consultations.
- Prepare briefs, analytical notes, and strategic updates.
- Organize Korea global AI events, workshops, and policy dialogues.
Required Experience
Minimum 8 years hands-on experience in AI/ML model development, AI policy, AI systems integration, responsible AI, AI governance, or research/industry AI deployment.
Qualifications
Master’s degree in computer science, AI/ML, data science, engineering, information systems, or related field.
