WBG Pioneer - AI Product and Agentic Systems Intern

The WBG Pioneer internship offers undergraduate and postgraduate students hands-on experience in global development, focusing on AI product and agentic systems within the World Bank's procurement digital solutions. The intern will support research, documentation, testing, and communication efforts related to AI-enabled procurement lifecycle enhancements.

Responsibilities

• Research emerging generative AI, Copilot, and agentic system practices relevant to procurement, workflow guidance, knowledge retrieval, and digital service delivery.
• Support identification and documentation of high-value AI and agent use cases across the procurement lifecycle, including borrower support, staff support, planning and others.
• Assist in developing agent concepts, user stories, journey maps, conversation flows, prompt patterns, and lightweight demonstration materials.
• Support testing and evaluation of AI-enabled experiences, including accuracy, usefulness, clarity, trustworthiness, handoff points, and user adoption potential.
• Help organize AI knowledge resources, example prompts, test scenarios, evaluation notes, and reusable materials for product and change teams.
• Collect and synthesize feedback from staff, borrowers, champions, pilot participants, and project stakeholders to inform AI experience design and adoption planning.
• Prepare concise presentations, briefing notes, demos, and storytelling materials that communicate the STEP 2.0 AI transformation vision and practical value.

Requirements

• Current final-year undergraduate student, master's student, or PhD student in computer science, data science, information systems, human-centered design, product management, business, public policy, international development, or a related field.
• Demonstrated interest in generative AI, large language models, Copilot experiences, agentic systems, digital transformation.
• Experience using AI tools such as Microsoft Copilot, ChatGPT, Claude, Gemini, or similar platforms; prompt design or AI evaluation experience is an advantage.
• Strong analytical, research, writing, and presentation skills, with ability to translate complex technology concepts into clear recommendations.
• Comfort working across technical and non-technical teams.
• Commitment to responsible AI, confidentiality, data protection, and human-centered technology design.

Skills

• Generative AI
• Large Language Models
• Agentic systems
• AI Product Development
• Digital Transformation
• Microsoft Copilot
• ChatGPT)
• Prompt Design
• AI Evaluation
• Research Skills
• Technical Writing
• Presentation Skills
• Human Centered Design
• Data Protection
• Responsible AI Principles
• Procurement Digital Solutions

Languages

English