AI Systems Architecture Support for UNICEF Egypt Education Intelligence Platform

UNICEF work in Egypt is focused on promoting sustainable development with multidimensional equity for children, embodying the fair chance for every child principle. In line with national priorities, UNICEF work in Egypt focuses on Early Childhood Development bridging the first 1000 days through the first years of formal education, as a key means by which multiple threats to children may be addressed through cross-sectoral linkages. The expected results of UNICEF’s work in Egypt will contribute to national efforts and priorities and the 2030 National Sustainable Development Strategy; as well as the United Nations Partnership for Development Framework (UNPDF 2018-2022). UNICEF’s programme in Egypt contributes to strengthen the knowledge base for more child-sensitive social protection, and improve three fundamental elements of the early childhood years (health, nutrition and development). UNICEF’s work on learning and protection covers all children of all ages, focusing on the most vulnerable children, children with disabilities and adolescent girls.

Artificial Intelligence is rapidly transforming how organizations generate knowledge and make decisions. Yet one of the greatest challenges facing education systems today is not the lack of data or evidence – it is the ability to translate information into better decisions that improve outcomes for children. UNICEF Egypt's Education Section is exploring an ambitious but practical innovation: evolving EDU-MIS from an information management system into an Education Intelligence Platform that augments planning, programme management and organizational learning through AI. Unlike many AI projects that focus on building chatbots or automating isolated tasks, this initiative asks a different question: How can AI augment the entire education planning and programme management cycle while keeping humans responsible for judgement, collaboration and accountability? The project brings together expertise from two complementary domains: - Education systems, evidence-informed decision-making and programme management, contributed by the UNICEF team; and - AI systems architecture and engineering, contributed by the volunteer. Together, the team will co-design an AI architecture capable of translating human planning and programme management processes into scalable AI-enabled workflows. This is a design-stage innovation project. The objective is not to build a production-ready application, but to create the technical blueprint that will guide future platform development and implementation. This assignment provides an opportunity to contribute technical expertise to an AI for Good initiative supporting education systems and children’s outcomes. The volunteer will collaborate with UNICEF professionals, contribute to an innovative early-stage concept, and help explore responsible ways AI can strengthen evidence-based decision-making

As the AI Systems Architect, you will work closely with UNICEF's Education team to translate human decision-making processes into an AI-enabled system architecture. Rather than implementing predefined technical requirements, you will help define how AI should reason, retrieve knowledge and support decision-making across the education planning and programme management cycle. The implementation of the platform, including software engineering, user interface development and deployment, will be undertaken in subsequent phases by dedicated development partners. The focus of this assignment is therefore on designing the architecture that makes the platform possible. You will work in a group of four volunteers and each of you will lead on one of the four tasks listed as below while supporting each other on the other tasks. Working collaboratively with the UNICEF team, you will: 1. Co-design the AI System Architecture - Translate education planning and programme management workflows into an AI-enabled system architecture. - Identify which decisions and reasoning processes can be augmented by AI and where human judgement should remain central. - Define how different AI capabilities should interact across the planning and management cycle. 2. Design the Knowledge and Reasoning Architecture - Design the knowledge architecture supporting the platform, including evidence repositories, programme documents, education statistics and other knowledge sources. - Recommend appropriate Retrieval-Augmented Generation (RAG), memory and reasoning approaches. - Design modular AI workflows that can evolve over time. 3. Develop the Technical Blueprint - Recommend the overall technical architecture and AI technology stack. - Produce a scalable blueprint that can guide future implementation by software developers and AI engineers. - Advise on technical feasibility, responsible AI considerations and evaluation approaches. 4. Shape the Future Platform Vision - Collaborate with UNICEF colleagues to explore innovative applications of AI for evidence-informed decision-making. - Contribute ideas that strengthen the long-term vision of an Education Intelligence Platform. - Help establish a foundation that can be expanded from UNICEF programming to government education planning in future phases. Expected Deliverables By the end of the assignment, the volunteers will contribute to: 1. An AI System Architecture for the Education Intelligence Platform. 2. A knowledge and reasoning architecture. 3. A technical blueprint for future implementation. 4. Recommendations on AI technologies, workflows and system design and technical documentation supporting the transition from concept design to platform development.