Project Implementation Expert – AI UniPod

The AI UniPod in Addis Ababa is positioned as a strategic anchor for the programme and a universitylinked platform for applied AI innovation, experimentation and product development. Hosted in
collaboration with the Ethiopian Artificial Intelligence Institute and Addis Ababa University, the AI UniPod provides access to collaborative workspaces, AI lab capacity, prototyping facilities, mentorship opportunities and stakeholder networks that enable innovators to refine AI-enabled solutions, validate prototypes and engage with potential solution uptake partners.
Through the METI UniPods programme, the Addis Ababa AI UniPod will support online and in-person learning pathways, residency activities, mentorship, prototype development cycles, visibility efforts and ecosystem engagement, while contributing to a stronger pipeline of market-oriented and developmentrelevant AI solutions across Africa. The project activities include the development of tailored curriculum and training materials for advanced applied AI courses, customization of an e-learning platform, delivery of advanced applied AI training modules, design and delivery of residency programmes, mentorship and facility support for applied AI prototypes, learning exchange visits, and deployment of UNVs for UniPod operations and project management.
The project has a tight implementation period, multiple delivery partners and several interdependent
technical and operational workstreams. Dedicated implementation support is therefore required to translate the approved annual work plan into sequenced actions, maintain delivery discipline, coordinate inputs, monitor progress, manage risks and dependencies, and ensure timely follow-up among UNDP, EAII, AAU, trainers, mentors, service providers, participants and ecosystem partners. The Implementation Support Expert will provide this hands-on support while complementing the technical leadership and fiduciary responsibilities of the respective institutions.

Under the overall supervision and the direct day-to-day guidance of the AI UniPod/EAII focal person, the UNV - Project Implementation Expert will be seconded to the Ethiopian Artificial Intelligence Institute and work in close collaboration with UNDP, the Ethiopian Artificial Intelligence Institute and Addis Ababa University.
The UNV Expert will support implementation of the METI AI UniPods programme through the following functions:

A. Implementation planning, coordination and follow-up
• Translate the approved annual work plan into a detailed six-month implementation plan, with activities, milestones, responsible parties, decision points and required operational actions.
• Maintain a consolidated implementation tracker covering curriculum development, e-learning platform customization, online training, residency programmes, mentorship, prototype development, learning exchange activities and related operations.
• Coordinate weekly implementation meetings and periodic partner review meetings; prepare agendas, minutes, action trackers and decision logs; and follow up on agreed actions.
• Align partner calendars, workplans and technical inputs to ensure coherent sequencing and avoid duplication or delivery gaps.
• Identify delays and bottlenecks, analyze their implications, recommend practical corrective actions and escalate issues requiring management decisions.

B. Advanced AI training and e-learning implementation support
• Support preparation and quality review of implementation plans, delivery schedules, participant workflows and readiness arrangements for the advanced applied AI training cohorts.
• Coordinate technical and operational inputs for curriculum and training-material development, including consultations, review cycles, version control and consolidation of partner feedback.
• Support coordination of e-learning platform customization, user requirements, content migration, user testing, issue logging, partner validation and documentation of acceptance actions.
• Maintain implementation records for participant onboarding, attendance, completion, assessment, feedback and cohort progression in collaboration with the technical partners.

C. Residency programme and event delivery support
• Support design and implementation of the two-week AI UniPod residency programmes, including detailed agendas, team workflows, mentor schedules, daily implementation plans and participant guidance.
• Coordinate facility readiness, workspaces, connectivity, computing infrastructure, learning materials and the timely availability of trainers, mentors and product assessors.
• Provide on-site implementation support during residencies, workshops, mentoring clinics, prototype reviews, Demo Day and partner-engagement activities.
• Track daily delivery, attendance, outputs, feedback, emerging issues and agreed follow-up actions and contribute to post-activity reporting.

D. Prototype development and innovation pipeline support
• Support challenge definition, milestone setting and structured product-development cycles for participating AI innovators.
• Coordinate innovator access to AI UniPod laboratories, computing resources, specialist mentors and product assessors in collaboration with AI UniPod Project team.
• Maintain a prototype pipeline tracker capturing the solution focus, team composition, development stage, technical and business milestones, mentorship received, barriers, risks and next actions.
• Coordinate milestone reviews and support teams to document user needs, technical validation, product testing, responsible AI considerations and evidence of progress.

E. Monitoring, reporting, risk and quality assurance
• Maintain a results tracker aligned with project indicators, baselines and annual targets, including appropriate participant disaggregation.
• Collect, validate and consolidate evidence of implementation, including participant records, completion data, activity reports, deliverables, prototype milestones, partner contributions, feedback and supporting documentation.
• Prepare concise weekly implementation updates and substantive monthly progress reports covering achievements, progress against milestones, upcoming priorities, delays, risks, decisions required and corrective actions.
• Conduct basic quality checks of outputs and documentation against approved terms of reference, activity plans, schedules and expected project results.
• Support preparation of evidence-based inputs for quarterly, annual, donor and final reports and ensure reported results are traceable to credible supporting evidence.