AI Solution Engineer

Role Overview As an AI Solution Engineer within the ADM practice, you design and build production-grade AI and automation solutions that enhance application development and maintenance delivery. You create scalable, reusable components that can be embedded into ADM processes and deployed across client environments.

Key Responsibilities

• Develop AI-powered solutions and intelligent automation workflows
• Integrate AI agents into ITSM platforms, DevOps pipelines, and enterprise systems
• Build reusable components such as orchestration frameworks and APIs
• Ensure compliance, security, and scalability
• Deploy solutions into production with ADM teams
• Continuously improve and industrialize AI capabilities

Experience Software engineering (Python/C#/Node), Git, CI/CD <- must haveExperience in AI supported development (Claude Code or Github Copilot) <- nice to haveAPI integration (REST, OAuth2, webhooks) <- must haveExperience or/and knowledge on retrieval-Augmented Generation (RAG) pipelines to enhance agents' reasoning capabilities with external knowledge sources, multi-agent communication protocols to enable seamless collaboration and coordination among agents. <- must haveProduction readiness (logging, monitoring, resilience, security) <- nice to haveExperience on AI governance (guard rails, multi agent architecture) <- nice to haveIntegration with ITSM/DevOps/RPA ecosystems <- nice to haveTools: Semantic Kernel/LangChain, Microsoft Agent Framework (MAF), Azure Foundry stack or UiPath (preferred) <- nice to have

Background- Education in Business and IT, Business Administration or Artificial Intelligence (HBO / WO) B2/C1 level Dutch <-must have