The selection process consists of two rounds:

The first interview with HR will involve classic interview questions. The focus will be on the technical background, but without in-depth technical questions. Instead, the project focus will be highlighted.

The second interview with the department head will focus more on technical aspects specifically relevant to the role. Here, project examples will be requested and technical knowledge will be assessed, particularly in the area of developing and deploying AI systems, with an emphasis on Large Language Models (LLMs) and less on general Machine Learning or Deep Learning.

In this context, it was important for me to find out how technical the role actually is and what percentage of programming work will be involved in the daily professional life. It turned out that approximately 80% of the activity consists of coding and 20% of presentation work. This assessment was communicated openly and honestly.

Since I started at Accenture as a New Graduate, but had already gained some experience as a working student, I should report in more detail about my experience in the industry. I should explain how I would implement university projects in production and what tech stack I would use.