Inetum Realdolmen
Inetum is a European leader supporting organizations as they navigate continuous technological change.With deep industry expertise, a strong innovation culture, and a scalable international model, we help clients transform their operations and generate sustainable impact across business and society.
Guided by European values, we empower local businesses to create positive impact and unlock society's full potential. This vision drives us to deliver on our promises, attract the best talent, and turn uncertainty into opportunity, building a future where technology unleashes the possibilities within us all.
AI Strategy & Architecture Consultant (Sovereign AI Program)
Mission
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
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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 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
- Good understanding of:
- 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
