GL-1 Development of a Business Workflow Orchestration System Based on Camunda and Enhanced with AI for Process Prediction and Adaptation PFE

Project overview

• Develop a Business Workflow Orchestration System based on Camunda BPM to model, execute and monitor enterprise processes.
• Integrate AI capabilities for process prediction and adaptive decision-making to improve process reliability and performance.

Objectives & main tasks

• Design and implement workflow definitions and orchestration logic using Camunda BPM and Spring Boot.
• Implement backend services in Java to interact with the workflow engine, manage process instances and expose APIs for the front-end.
• Develop mechanisms for process prediction and adaptation: collect runtime data, train/predict with AI models, and trigger adaptive workflow changes.
• Collaborate with frontend developers to provide Angular-based user interfaces for process monitoring, dashboards and manual task handling.

Technologies & expected skills

• Core technologies: Camunda BPM, Spring Boot, Java for backend development and Angular for the user interface.
• Skills in process modelling, REST API design, integration of AI components (prediction models) and handling process events for adaptation.
• Familiarity with data collection for ML, model evaluation, and embedding prediction outputs into runtime orchestration decisions.

Deliverables & learning outcomes

• A working prototype of a Camunda-based orchestration platform enhanced with AI-driven prediction and adaptation mechanisms.
• Documentation of architecture, APIs, process models, and guidelines to extend prediction/adaptation modules.
• Experience in combining BPM, backend engineering and applied AI to solve real-world process automation problems.

How to apply

• To apply, send your CV and cover letter specifically referencing this GL-1 PFE to the internship address: stages@hydatis.fr.
• You may also consult the company site for more information: https://www.hydatis.com