This is what you do on an average day

• Designing and building generic and scalable data solutions, such as ChatAmsterdam.
• Collaborating with the team to arrive at the best data-related choices, with special attention to modeling RAG solutions.
• Aligning developments with the AI ​​platform team and the data platform team, among others.
• Actively contribute to an inclusive, safe, and sustainable method of data development, where reliability and transparency are central.

This is where you get started

We want to be a good employer that ensures all colleagues feel seen and appreciated. We cherish the differences among colleagues; all these differences lead to better results for our organization and our city. In doing so, we strive for a workforce that reflects the working population of Amsterdam. So whoever you are: you are very welcome with us!

Digitalization at the Municipality of Amsterdam

Residents, entrepreneurs, and visitors of Amsterdam expect an optimally functioning city that aligns with the digital future. Therefore, the i-domain (IT, Innovation & Data) is digitizing services at a rapid pace. We are investing in the knowledge and competencies of employees, organizing city-wide retraining programs, and working in an agile manner. In this way, we ensure that the municipality is ready for the digital society of today and the future.

The Data Science & AI department – ​​ChatAmsterdam team consists of specialists who create data and AI solutions and predictive models for various topics in Amsterdam. The ChatAmsterdam team works on expanding the genAI landscape.

Bring this with you

For this AI Engineer position, you possess:

• At least a Bachelor's degree in Data Science, Artificial Intelligence (AI), Computer Science, or a comparable education.
• At least 4 years of work experience as a data scientist, including experience with developing and deploying data solutions and AI applications in cloud environments, such as Azure.
• Experience setting up RAG systems in Python, for example with LangChain, LangGraph, or Langfuse, and creating reports and dashboards in Python.
• Experience with Databricks for building and managing ingestion pipelines and CI/CD pipelines using Infrastructure-as-Code, among others, setting up scalable data solutions according to best practices, evaluating and benchmarking AI applications and models, and setting up and maintaining datasets for the development of AI systems, among others.