AI Specialist

The sector manages, amongst other, the Council's AI and Data Platform (ChatGSC, Data Explorer and Data Platform). These projects run on the on-premises installation of QAnswer, Kestra, DBT, PowerBI,... We might be looking for external consultancy junior/standard AI profile to reinforce the team to contribute to the following area:

• Use of AI to automate the tagging of JuriBase documents in eConsilium (ref. PRJ0040318): The project aims at using AI to tag, in eConsilium, the documents produced by the Council Legal Service (CLS) or which are of interest to the CLS to produce legal advice. The use of AI will enhance both searchability and document management processes.
• ChatGSC Production (ref. PRJ0040467): ChatGSC (a safe, ChatGPT-like experience

for GSC staff) is currently in pilot mode, with 200 users testing 14 use-cases of different complexity. The objective is to move the successful use-cases to production and escale the platform to support the whole GSC (3200 users).

• ChatGSC Pilot Phase 2 (ref. DMND0040464): The goal of this pilot project is to continue piloting generative AI use cases during 2026 and assess how some layers of the platform could be provisioned as a service through APIs.

The consultancy services to be provided will cover:

• Analysis, development, testing and delivery in production of proof of concepts, pilots and projects for a variety of end-users using Artificial Intelligence (AI).
• Provide advice, support and training for AI related activities for technical and non-technical users (Modelling, Design, Architecture Review, AI projects, Standards and processes, Centre of Competence)
• Prepare analysis and architecture deliverables (eg: building blocks) concerning AI to contribute to Reference Architecture and AI Data Platform

Experience in the following areas is required:

• Programming languages for data analytics and artificial intelligence (eg: python and java )
• Prompt engineering or related fields:
  • Develop and refine prompts for AI models to achieve desired outcomes
  • Test, evaluate, and iterate on prompt strategies.
  • Analyse and report on model behaviour based on different prompt designs.
• Ability to effectively communicate with business stakeholders and explain complex technical elements in a simple way.
• Technical guidance and troubleshooting including solution finding for highly complicated issues.
• Industrialization and sizing of AI solutions using private cloud environments, containerisation (eg: Kubernetes, ArgoCD) and CI/CD techniques (eg: Bamboo, Git, ...).
• MLOps tools, testing and quality assurance.
• Developing with reusable open-source large language models (eg: Gemma 3) and Generative AI APIs (eg: openai)

Additionally, experience in the following areas will be an asset:

• Analysis and validation of business cases and/or maturity assessment studies.
• Analysis and validation of technological orientations and ability to cope with fast changing technologies.
• Analytical thinking, by using logic and reasoning to identify patterns and gaps while analysing and exploring data to reach data-driven decision-making.
• Data modelling for data lakes and data warehouses (eg: Medallion Architecture, Star Schema and Kimball)
• SQL (eg: Oracle, SQL Server,…)
• ETL/ELT (eg: Kestra/Airflow orchestration, DBT transformations)
• Data visualisation and dashboarding tools (eg: PowerBI, Superset)