Meta description: Learn what AI engineers do in Italy, where the jobs are, which skills employers want, and how to prepare for this fast-growing career.
Artificial intelligence has moved from research labs into everyday business, and Italy is no exception. In LinkedIn’s 2026 ranking of rising jobs in the country, the AI engineer came first. If you are thinking about a technology career in Italy, this role deserves a close look.
What does an AI engineer do?
An AI engineer designs, builds and maintains systems that learn from data. In practice this means creating machine learning and deep learning models, testing how accurate they are, and connecting them to real business processes. A model that predicts equipment failures in a factory, sorts customer requests, or forecasts demand for a retailer are typical examples. Much of the work is also about automating repetitive workflows so that teams can focus on higher-value tasks.
Where are the jobs?
According to LinkedIn’s report, most of these positions are concentrated in Milan, Rome and Turin. Milan has the largest mix of banks, consultancies and technology firms, Rome has a strong public-sector and services market, and Turin combines a long industrial tradition with growing digital projects.
Skills employers look for
- Strong programming, especially Python
- A solid grounding in statistics, linear algebra and probability
- Experience with machine learning libraries and deep learning frameworks
- Data engineering basics, such as cleaning data and building pipelines
- Familiarity with cloud platforms for training and deploying models
- Clear communication, because engineers must explain results to non-technical colleagues
How to prepare
Most AI engineers hold a degree in computer science, engineering, mathematics or physics. Italian universities have a good reputation for producing graduates with strong mathematical foundations, though employers often say practical software and cloud skills are harder to find. That gap is an opportunity: build a portfolio of real projects, contribute to open-source work, and show that you can take a model from an idea to a working service.
Many technology teams use English at work, but learning Italian will widen your options and make daily life easier. If you are not an EU citizen, check the current visa and work-permit rules on official Italian government websites before making plans.
The bottom line
Demand for AI skills is rising, and Italian employers are actively looking for people who can turn data into working products. Build both your theory and your hands-on experience, and this career path offers plenty of room to grow.
Job-market conditions change. Always check current vacancies and official requirements before making career or relocation decisions.