The AI Engineering Fellowship 2026 by Dalberg Data Insights offers an exceptional opportunity for early-career professionals to build technical expertise while addressing some of the world’s most pressing development challenges. Based in Nairobi, this six-month fellowship is designed for graduates in AI, data science, and related fields who are eager to apply their skills in real-world, impact-driven environments. As part of the broader Dalberg Group, Dalberg Data Insights focuses on leveraging data and artificial intelligence to support inclusive and sustainable development across Low- and Middle-Income Countries (LMICs). About Dalberg Data Insights Dalberg Data Insights works at the intersection of data science, artificial intelligence, and global development. Its mission is to close the growing digital divide by democratizing access to AI tools and knowledge for organizations operating in underserved regions. The organization achieves this by: Designing AI and data-driven strategies Delivering AI literacy training for partners Piloting innovative AI and data solutions Promoting responsible AI practices Building scalable AI tools such as advanced data analysts and advisory systems One of its flagship innovations, the augment.impact platform, enables the creation of AI-powered tools that transform complex datasets into actionable insights for decision-makers. About the AI Engineering Fellowship The fellowship is a six-month, immersive program that integrates learning with hands-on experience. Selected fellows become part of active project teams, working on real-world challenges while developing practical technical skills. A key feature of the program is its rotational structure, allowing fellows to explore multiple technical roles, including: Data Engineering Data Science Generative AI (GenAI) This approach provides a comprehensive understanding of how different functions contribute to the development of impactful data solutions. Fellows also gain exposure to project workflows, team collaboration, and client engagement. In addition to structured learning, fellows are encouraged to drive independent initiatives, fostering innovation, creativity, and entrepreneurial thinking. The Dalberg Data Insights AI Engineering Fellowship 2026 What You Will Gain The AI Engineering Fellowship is designed to accelerate both technical and professional growth. Participants will: Develop advanced skills in data analysis, AI, and software development Gain hands-on experience building data pipelines and AI-driven solutions Learn to design and deploy data visualization tools Participate in code reviews and technical process improvements Build the capacity to work effectively in multidisciplinary, global teams While full-time employment is not guaranteed, high-performing fellows may be offered permanent roles, depending on performance, alignment with organizational values, and overall team fit. Ideal Candidate Profile Dalberg is seeking individuals who are not only technically capable but also passionate about social impact. Ideal candidates are: Curious, adaptable, and fast learners Strong problem-solvers with analytical thinking skills Self-driven and capable of managing multiple tasks Comfortable working in diverse, multicultural teams Committed to using data and AI to address global challenges Candidates should demonstrate an interest in tackling issues such as climate change, public health, and youth unemployment, particularly in underserved communities. Key Skills and Qualifications To be competitive for the fellowship, applicants should have: Experience using Python for analytical problem-solving Strong quantitative and systematic thinking skills Excellent written and verbal communication in English Ability to clearly present ideas and translate concepts into practical solutions Additional desirable skills include: Experience building data pipelines or automating analyses Knowledge of programming languages such as Java, JavaScript, SQL, HTML, and CSS Familiarity with designing and scaling digital applications Basic understanding of statistical methods and data systems Candidates with 0–2 years of experience in digital or data-related roles are encouraged to apply. Why This Fellowship Matters The AI Engineering Fellowship stands out for its strong emphasis on impact-driven technology. As AI continues to reshape industries globally, there is a growing risk that LMICs may be left behind. Dalberg Data Insights aims to bridge this gap by developing inclusive data ecosystems that empower organizations to make informed decisions. Through this fellowship, participants contribute directly to efforts that: Improve access to data and technology Strengthen decision-making in development sectors Promote ethical and responsible use of AI Drive sustainable and inclusive growth Application Details Location: Nairobi, Kenya (multi-location opportunities may apply) Duration: 6 months Application Deadline: 17 April 2026 Start Date: August 2026 Applications are reviewed on a rolling basis, so early submission is encouraged. Candidates must also have authorization to work in Kenya. The Dalberg Data Insights AI Engineering Fellowship 2026 Final Thoughts The Dalberg Data Insights AI Engineering Fellowship 2026 is more than a technical training program it is a gateway to becoming a global development leader. By combining technical learning with real-world impact, the fellowship equips participants with the skills and experience needed to drive meaningful change through data and AI. For aspiring data professionals who are passionate about solving complex global challenges, this fellowship offers a unique opportunity to build expertise, gain hands-on experience, and contribute to a more inclusive digital future. APPLY HERE For more opportunities such as these please follow us on Facebook, Instagram, WhatsApp, Twitter, LinkedIn and WPChannel Disclaimer: Global South Opportunities (GSO) is not the organization that is offering this fellowship. For any inquiries, please contact the official organization directly. Please do not send your applications & CVs to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.