AI Developer

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.

We are more than 34,000 people, in over 30 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together.

Role description:

The AI Developer is responsible for designing, developing, implementing, and supporting AI-powered solutions that improve business processes, employee experiences, and operational efficiency across Arcadis.
The AI Developer is responsible for designing, developing, implementing, and supporting AI-powered solutions that improve business processes, employee experiences, and operational efficiency across Arcadis.

Working as part of a global technology team, this role will help build and enhance AI agents, copilots, automations, and integrations using technologies such as Azure AI Foundry, Azure OpenAI, Copilot Studio, Model Context Protocol (MCP), custom connectors, Power Platform, and Azure cloud services.

This position is ideal for a developer who is passionate about emerging AI technologies and enjoys combining software development, automation, integration, and problem-solving to deliver practical business solutions.​

Role accountabilities:

• Develop, test, and deploy AI-powered applications, copilots, agents, and automation solutions.
• Build solutions using Azure AI Foundry, Azure OpenAI, Copilot Studio, and Microsoft Power Platform technologies.
• Develop integrations between AI solutions and enterprise systems through APIs, MCP tools, custom connectors, and other integration technologies.
• Assist in creating reusable components, templates, and development patterns that support scalable solution delivery.
• Support the implementation of Retrieval Augmented Generation (RAG), prompt engineering, document ingestion, and knowledge search capabilities.
• Support proof-of-concept and pilot initiatives to evaluate emerging AI technologies and capabilities.
• Participate in Agile delivery processes, including sprint planning, development, testing, and deployment activities.
• Document solutions, integrations, and technical processes to support ongoing operations and future development.
• Follow established security, privacy, and compliance standards in the design and delivery of AI solutions.
• Support implementation of Responsible AI practices, including content safety, transparency, and governance requirements.