Microsoft Copilot Studio & Azure AI Engineer
- Postad
- Plats
- HQ in Stockholm
- Arbetsform
- Mostly remote
- Lästid
- 1 min läsning
We are looking for a senior Microsoft Copilot Studio & Azure AI Engineer for a global industrial company currently accelerating its AI adoption journey.
The client operates in a complex international environment with multiple business units, markets, and supporting systems. While Microsoft technologies form the backbone of the platform landscape, there is significant variation in systems and processes across regions, making integration and governance key success factors.
You will work closely with the client's AI leadership function and collaborate with both business stakeholders and technical teams to establish scalable AI solutions and best practices across the organization. You will also interact with a Stockholm-based AI development team.
The assignment is primarily remote, with the client's headquarters located in Stockholm.
Required experience
Hands-on experience building agents in Microsoft Copilot Studio
AI governance tooling, including DLP, environment policies, Microsoft Purview, and agent lifecycle/approval processes
Power Platform fundamentals, including Power Automate, Dataverse, and custom connectors
Azure AI and Azure OpenAI for extending agent capabilities beyond standard Copilot Studio functionality
API integrations connecting AI agents to business systems and line-of-business applications
Microsoft Fabric
Prompt engineering and AI DevOps practices
Model Context Protocol (MCP)
Profile
We are looking for a highly senior consultant who is comfortable operating in a fast-evolving environment where requirements and direction are not always fully defined.
The ideal candidate is proactive, self-driven, and able to take ownership from idea through implementation. You should be comfortable engaging directly with stakeholders across business and IT, driving discussions, clarifying needs, and helping shape the roadmap rather than simply executing predefined tasks.
Experience navigating large organizations, driving change, and establishing governance and working practices around AI initiatives is highly valued.