AI Solution Engineer

Capgemini · Utrecht, Netherlands · On site · September 16, 2026

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Posted September 16, 2026 · Read from Capgemini
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Job Description

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 have

Experience in AI supported development (Claude Code or Github Copilot) <- nice to have

API integration (REST, OAuth2, webhooks) <- must have

Experience 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 have

Production readiness (logging, monitoring, resilience, security) <- nice to have

Experience on AI governance (guard rails, multi agent architecture) <- nice to have

Integration with ITSM/DevOps/RPA ecosystems <- nice to have

Tools: 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

Employer
Capgemini
Location
Utrecht, Netherlands · On site