Artificial Intelligence Engineer

Start: March 2026

End: Feb 2031

MUST Criteria: (for every MUST criteria we need at least 3 years of experience)

• In-depth understanding and practical experience with Large Language Models and Conversational AI solutions (RAG applications, etc.) in Azure.
• Experience in the design, development, and implementation of AI agents (multi-agent systems) → only 1 year of experience
• Experience in the use of Model Context Protocols (MCPs). → only 1 year of experience
• Gathering and structuring the functional requirements in close consultation with the relevant departments.
• Implementation of the solution and continuous development in agile exchange with the departments.
• Connecting and harmonizing relevant internal and external data sources.
• Rollout and user-friendly provision of the solution in operational operation.
• Handover to internal teams including upskilling and enabling users.
• Experience with Microsoft Azure services (e.g. Microsoft Foundry, Azure Cognitive Services, Azure Machine Learning).
• Experience in developing robust and scalable applications with C# and the .NET framework as well as Python.
• Experience with DevOps principles and CI/CD pipelines for the automated deployment of AI solutions.
• Practical experience with containerization (Docker, Azure Kubernetes Service).
• Experience with Infrastructure as Code.
• High willingness to learn and the incorporation of the latest developments in the field of AI into the projects.

NICE TO HAVE Criteria:

• Knowledge in the use of Confluence and JIRA.
• Experience with Azure API Management, Monitoring/Logging (Azure Monitor, Log Analytics) and Data Governance (Microsoft Purview).
• Industry knowledge in the energy industry or the public sector.

Digisourced is supporting a client on a contract Artificial Intelligence Engineer requirement for delivery on an international programme.

Digisourced is acting as an employment business in relation to this vacancy.