Associate AI Documentation Developer

We are looking for a motivated and detail-oriented AI Documentation Developer to join our Euronext Securities IT Solution Architecture team. In this role, you will bridge the gap between complex business requirements and technical implementation, with a specific focus on optimizing our technical documentation lifecycle through AI-driven tools.

This is an ideal position for a STEM graduate who is passionate about IT paradigms, structured project management, and the evolving landscape of Artificial Intelligence.

Key Responsibilities

• Solution Design Support: Assist senior architects in adopting AI based documentation tooling.
• Document Management: Take ownership of the creation, organization, and maintenance of technical documentation with modern approach that is AI capable and ready (e.g., High-Level Designs, API specifications, and User Manuals).
• AI-Assisted Technical Writing: Leverage and experiment with AI tools to draft, proofread, and summarize technical content, ensuring accuracy and consistency across all platforms.
• Quality Assurance: build AI tools to Review and revise technical documents to ensure they are clear, professional, and accessible to both technical and non-technical stakeholders.

Required Qualifications & Skills

• Education: Bachelor’s or Master’s degree in Mathematics, Physics, Engineering, Computer Science, or a related technical field.
• IT Fundamentals: A basic understanding of core IT paradigms (e.g., Cloud Computing, Microservices, Client-Server architecture, basic networking, and APIs).
• AI Literacy: Foundational knowledge of Generative AI and Prompt Engineering, specifically for the purpose of document drafting and technical revision.
• Project Management: Familiarity with basic PM methodologies (Agile, Scrum, or Waterfall) and tools (Jira, Trello, or Asana).
• Language Skills: Professional fluency in English (both written and spoken). You must be comfortable writing complex technical reports in English.
• Analytical Mindset: Strong logical reasoning and problem-solving skills derived from a quantitative academic background.

Preferred Skills

• Experience with Markdown or LaTeX for professional document formatting.
• Knowledge of version control systems (e.g., Git).
• Basic understanding of UML (Unified Modeling Language) or similar diagramming techniques is a plus.