Ingénieur IA Générative – Energy & Utilities

📍 Location: Gosselies, Belgium (Hybrid – min. 2 days onsite/week)

📅 Start date: 01 October 2025

📌 Industry: Energy & Utilities

🔎 Language Requirements: French (C2), English (B1)

Mission Overview

We are seeking a Generative AI Solutions Engineer to join an enterprise-scale initiative within the energy sector, focused on AI innovation and automation.

As part of the organization's ambition to establish a Center of Excellence for Generative AI, the consultant will be involved in POCs, pilots, and real-world solution development.

Key Responsibilities

• Design & deploy RAG chatbots using structured/unstructured data (FAQs, documents, APIs).
• Build intelligent agents that interact with databases (e.g. Fabric, Postgres, CosmosDB) and APIs.
• Manage Data Pipelines:
• Build/optimize ETL/ELT workflows.
• Handle data flow, integration, and transformations.
• Implement monitoring dashboards for performance and cost analysis.
• Ensure scalability, security, and CI/CD robustness.
• Deploy & monitor AI models on Azure, using performance KPIs.
• Contribute to the Generative AI strategy, governance, and internal knowledge-sharing initiatives.

Must-Have Skills

• Generative AI & RAG: Proven experience with RAG-based solutions and multi-modal data (documents, images, APIs).
• Azure AI Ecosystem: Familiarity with services like Azure AI Foundry, AI Services, Copilot Studio, Synapse, Fabric, Data Factory.
• Data Engineering: Strong ETL/ELT expertise, monitoring, and CI/CD for AI pipelines.
• Programming: Python (LangChain, PySpark preferred).
• Monitoring: Experience with performance and cost KPIs for AI systems.

Additional Assets

• Understanding of AI lifecycle processes (training, fine-tuning, inference).
• Exposure to LLMs and real-time or batch-based AI deployment.