AI Engineering Fellow, February 2026 at Dalberg

ABOUT THE AI FELLOWSHIP PROGRAM

Dalberg Data Insights is looking for two AI Fellows who can join the team. As an AI Fellow, you will become an active member of a team that is working on an ongoing project and learn first-hand what it takes to build impactful data solutions. You will rotate between different project management roles, gaining a unique perspective on how different functions contribute to the success of a project, thereby receiving a unique overview of how different functions operate within a successful project. The AI Fellowship program will help you to discover your strengths and use them to grow into the job that fits you best. As entrepreneurship and creativity is highly valued at DDI, we also encourage AI Fellows to drive their own initiatives related to data for development.

Employee Value Proposition:

The AI Fellowship program is designed to help you:


Develop advanced technical skills and build your capacity to perform effectively in a technical data role.
Understand the responsibilities and requirements of working on the technical side of data projects at Dalberg Data Insights.
Discover your strengths and areas for growth as you explore different technical functions, such as data engineering, data science, and Gen AI.


What Success Looks Like:

While full-time employment is not guaranteed following the 6-month fellowship, we aim to offer permanent positions to fellows who excel in the program. In addition to demonstrating technical and professional growth, we assess synergy with the current team, alignment with firm culture and values, and fit within a GWC framework:


Get it: Understand the responsibilities and requirements of the role based on clearly defined expectations
Want it: Genuinely want to perform and excel in the role.
Capacity to do it: Possess the skills and capacity to perform the role effectively.


ABOUT YOU

You're eager to develop data tools and inclusive data ecosystems to assist public and development actors in making informed decisions. You aspire to tackle global issues, from the spread of pandemics to climate change to youth unemployment, ensuring no population is left behind. You are a dedicated problem solver with an entrepreneurial spirit, committed to professional excellence. You are curious and a fast learner. You are disciplined and attentive to data systems. You are self-driven, agile and can work independently and on multiple engagements simultaneously. You do not shy away from working in multicultural and multi-location teams. You value diversity.

SCOPE OF POSITION

As a AI Engineering Fellow, you will:


Become an active member of technical project teams.
Gain hands-on experience in building data solutions using cutting-edge technologies.
Rotate between roles such as data engineer, data scientist, and Gen AI specialist, understanding the contributions of each.
Contribute to the development of data pipelines, Gen AI solutions, and data visualization tools
Participate in code reviews and contribute to the improvement of our technical processes.
We also encourage fellows to bring a new perspective to evaluate and enhance our current workflows, identifying opportunities for innovation and efficiency.


ESSENTIAL QUALIFICATIONS AND SKILLS


Curious, resourceful, confident under pressure, and comfortable working in a fast-paced, growth-oriented environment
Experience solving analytical problems using quantitative or systematic approaches
Self-driven, agile, and able to work independently and on multiple engagements simultaneously.
Ability to communicate your ideas and rationale effectively to the project manager or client and see concepts through to the final design deliverable.
Excellent written and verbal communication skills in English.
Experience working with Python to solve analytical problems.
Work authorization in Kenya


DESIRABLE QUALIFICATIONS AND SKILLS


0-2 years of experience working with digital solutions.
Built algorithms and design experiments to merge and manage data. Automated analyses and authored data pipelines.
Helped to design and implement complex data systems.
Designed, built, and scaled server-side applications.
Designed and built front-end applications.
Comfortable with multiple object-oriented languages, including Python, Java, JavaScript as well as scripting languages like SQL, HTML, and CSS.
Ability to design and build complex applications on the back or front end.
Deep statistical knowledge.