Deployment Engineer & Architect - UAE
Role Overview
Design, develop, and deploy AI agent solutions using Microsoft Copilot, Copilot Studio, and Azure AI services for customers.
Combine hands-on engineering with architecture leadership to deliver scalable, secure, production-ready AI solutions.
Contribute to the Agent Factory (FFL) delivery model for agents that transform business processes.
Key Skills for This Role
Full Job Posting
Role overview
Design, develop, and deploy AI agent solutions using Microsoft Copilot, Copilot Studio, and Azure AI services for customers.
Combine hands-on engineering with architecture leadership to deliver scalable, secure, production-ready AI solutions.
Contribute to the Agent Factory (FFL) delivery model for agents that transform business processes.
What you will do
- Design and implement end-to-end AI agent architectures across Microsoft 365 and Azure.
- Build and deploy Copilot Studio agents and integrate them with enterprise systems.
- Develop custom plugins, connectors, and workflows.
- Lead technical design for Agent Factory delivery and scaling models.
- Translate customer business use cases into technical solutions.
- Implement RAG pipelines, integrations, and data orchestration.
- Set up and optimize Azure AI environments, landing zones, and deployment pipelines.
- Ensure security, governance, and compliance; support testing, optimization, and continuous improvement.
- Collaborate with AI Transformation Advisors to deliver customer impact.
Core engineering and architecture
- Strong software engineering background, such as .NET, Python, JavaScript, or TypeScript.
- Experience designing scalable cloud-native architectures and leading technical design decisions.
AI, data, and security experience
- Hands-on experience with Copilot Studio and agent development; experience building AI solutions using Azure AI or Azure AI Foundry.
- Understanding of multi-agent patterns, orchestration, and automation; experience integrating APIs, data sources, and enterprise systems.
- Experience with RAG architectures, Azure AI Search, data pipelines, and indexing approaches.
- Experience integrating Microsoft Graph, SharePoint, and enterprise data sources.
- Understanding of enterprise security, identity including Entra ID, and data protection; experience implementing AI governance, compliance, and data security controls.
What makes you successful
- Able to move seamlessly between architecture and hands-on delivery.
- Builds production-ready, secure, and scalable solutions and understands technical design and business impact.
- Comfortable in fast-evolving AI environments; takes ownership and drives technical outcomes end to end.
Nice to have
- Experience with Power Platform, including Power Automate and Dataverse; familiarity with Copilot extensibility and plugin models.
- Experience with DevOps or CI-CD pipelines for AI solutions; knowledge of GCC customers and the market; Arabic language skills.
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