Automation & AI Integration Engineer

Project overview

The assignment involves helping to shape AI and automation deployment within the organization.

Profile of the suited interim professional:

• Translating concrete needs into working solutions at the intersection of AI, automation, data, and software development
• Co-building a central AI Workspace where employees can build, discover, and use AI solutions
• Developing and deploying AI agents linked to relevant knowledge sources and business systems
• Setting up integrations, reusable components, tests, and production-ready solutions with attention to access control and reliability
• Connecting AI agents with Microsoft 365 (SharePoint, Teams), Dataverse, and other systems via API integrations and connectors
• Linking LLMs to knowledge sources via knowledge grounding and retrieval-augmented generation (RAG)
• Developing agentic workflows
• Monitoring quality, reliability, security, access control, governance, and lifecycle management
• Guiding solutions from initial prototype to production
• Aligning with colleagues from Data & AI, IT, and the involved business domains
• Strong technical builder who translates ideas into concrete, self-realized solutions
• Practical experience with AI, automation, integrations, and software development
• Knowledge of generative AI, LLMs, AI agents, or conversational AI
• Familiar with Microsoft Copilot Studio or a similar agent platform, as well as prompting, context engineering, RAG, knowledge grounding, and tool calling
• Skill in testing and evaluating LLM solutions and securing agents against prompt injection, among other things
• Development experience in Python or TypeScript/JavaScript, with API integrations
• Background in data and/or analytics engineering
• Knowledge of setting up, configuring, and managing open-source AI platforms like LibreChat or Open WebUI, including deployment, SSO, and LLM connections
• Familiarity with Power Automate, Power Apps, and Power Platform
• Working according to an Agile development methodology
• Knowledge of REST APIs, JSON, SQL, Git, authentication, and authorization
• Familiar with Azure, Microsoft Graph, Dataverse, or other cloud and data sources
• Understanding of AI consumption models such as tokens and Copilot credits, with the ability to monitor and optimize consumption
• Bachelor's or Master's degree in IT, computer science, software engineering, or informatics, or equivalent experience
• Several years of relevant background in software development, automation, and/or AI development
• Fluent command of the Dutch language

Project details

• Start: flexible
• Location: Brussel, Flemish Brabant, Brussels, BE
• Languages: Dutch