AI Analyst Senior
Share
Job Location:
Anderlecht - Belgium
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
The Machine Learning / AI Analyst acts as the key interface between business stakeholders and technical teams within the RIO MVP initiative. The role ensures that business needs are clearly understood translated into functional specifications and reflected in the metadata models validation workflows and RAG/LLM interactions.
The analyst contributes directly to the quality accuracy and relevance of the AI copilots and the overall RAG engine.
Primary Tasks and Responsibilities
Collect analyze and formalize user needs from stakeholders business teams and internal contributors.
Define usage scenarios extraction rules validation workflows and expected behaviors for the AI copilot.
Design prompts templates and interaction strategies for LLM/RAG components.
Write functional specifications for engineering and data teams.
Validate AI output quality in terms of accuracy relevance traceability sourcing and consistency.
Facilitate clear empathetic and pedagogical communication between technical teams and business users.
Technical Profile Requirements
Practical experience implementing GenAI projects (LLMs RAG copilots hybrid pipelines).
Knowledge of application architecture data pipelines and RAG concepts.
Useful technical foundations: Python SQL document extraction methods.
Ability to design effective prompts and LLM interaction strategies.
Understanding of metadata modeling and validation logic design.
Non Technical Profile Requirements
Excellent communication skills and ability to explain AI concepts in a clear accessible way.
Strong analytical mindset with a user centric and empathetic approach.
Ability to translate business needs into actionable structured functional descriptions.
Collaborative and constructive mindset when interacting with multidisciplinary teams.
High attention to detail especially regarding quality consistency and traceability.
Methodology/Certification Requirements
Experience working in Agile environments (Scrum Kanban).
Familiarity with structured delivery methodology is a plus.
Certifications in AI data analysis or business analysis are considered an advantage.
IT Skills Requirements
Data Architecture
GenAI Implementation (LLMs RAG copilots)
Python
SQL
Methodology/Certification Requirements
Agile
Architecture Certification (TOGAF CITA EACOE Certified SOA Architect etc.)
ITIL Foundation
Key Skills
- Splunk
- IDS
- Microsoft Access
- SQL
- Cybersecurity
- Intelligence Experience
- Malware Analysis
- Tableau
- Analysis Skills
- SAS
- Data Analysis Skills
- Analytics
About Company
30 employees
Welcome to Sansaone, a dynamic force in the realm of ICT talent acquisition. Born out of a passion for excellence and a vision for connecting outstanding professionals with forward-thinking organizations, we stand as a beacon for strategic recruitment solutions in the Information and ... View more
