Mission
All potential candidates should read through the following details of this job with care before making an application.
Are you ready to work on one of the most strategic AI initiatives in Belgium?
Join Inetum to contribute to the design and deployment of a sovereign AI solution for a key public-sector client. This program aims to build a trusted, secure, and high-performance AI model hosted within a controlled data center environment.
You will play a critical role at the intersection of AI strategy, business value, and technical architecture, ensuring that AI solutions deliver measurable impact while remaining cost-efficient and compliant.
Responsibilities
AI strategy & business value:
Define and build AI business cases aligned with client priorities
Identify and translate use cases into measurable AI initiatives
Define and track KPIs to evaluate AI performance vs cost
(e.g. model accuracy, efficiency, response time, ROI, cost per use case)
Establish frameworks to assess whether an AI model is performing effectively and sustainably
Support stakeholders in adopting AI in their projects
AI architecture & technology:
Evaluate and recommend the most appropriate AI technologies and models (LLMs, ML, GenAI, etc.)
Contribute to the design of robust, stable, and scalable AI architectures
Ensure solutions can operate in a sovereign and on-premise environment (data center constraints)
Collaborate with engineering teams to ensure implementation feasibility and performance
Governance & performance monitoring:
Define model evaluation strategies and performance monitoring frameworks
Ensure compliance with security, privacy, and regulatory requirements
Monitor and optimize the balance between performance and operational costs
Contribute to AI governance and best practices
Profile
Experience:
Proven experience in AI / Data / Analytics projects
Strong experience in building AI business cases with KPIs
Hands-on experience in the implementation of AI models
Experience in regulated or sensitive environments is a strong plus
Technical xphnsxz skills
Good understanding of:
Machine Learning / Generative AI / LLMs
AI model evaluation metrics (accuracy, precision, recall, cost efficiency, etc.)
Data platforms and AI architectures
Ability to assess different AI technologies and select the right approach
Understanding of on-premise / sovereign AI constraints is a plus
Soft skills:
Strong analytical mindset (ability to link business value & technical performance)
Ability to communicate with both business stakeholders and technical teams
Autonomous, structured, and pragmatic approach
Strong stakeholder management skills
Languages: Fluent in French and Dutch