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

Overview

• Develop a Business Workflow Orchestration System using Camunda BPM as the workflow engine.
• Enhance the orchestration with AI capabilities for process prediction and dynamic adaptation to improve efficiency and resiliency.

Objectives & Main Tasks

• Design and implement workflow definitions and orchestration logic using Camunda and Spring Boot.
• Integrate AI models to predict process outcomes (e.g., bottlenecks, SLA breaches) and trigger adaptive workflow changes.

Technical Stack & Responsibilities

• Backend development in Java with Spring Boot for orchestration services and Camunda integration.
• Front-end integration with Angular for user interfaces, and connection to data stores (PostgreSQL or other) as needed.

AI & Data Tasks

• Prepare data pipelines for process telemetry, implement feature extraction for predictive models.
• Train/evaluate models for process prediction and implement real-time inference to guide workflow adaptation.

Deliverables

• A runnable orchestration system (Camunda + Spring Boot) with integrated prediction/adaptation components.
• Documentation, test cases, and a demo UI (Angular) showing prediction-driven workflow changes.

How to apply

• Apply via the company site: https://www.hydatis.com
• Or send your application by email to stages@hydatis.fr indicating the topic reference in the subject (use "GL-1").