Deployment Engineer & Architect - UAE

We are looking for a Deployment Engineer & Architect to lead the design, development, and deployment of AI agent solutions using Microsoft Copilot, Copilot Studio, and Azure AI services for our Customers.

This role is a combination of hands-on engineering and architecture leadership , focusing on building scalable, secure, and high-impact AI solutions. You will play a key role in our Agent Factory (FFL) model—delivering production-ready AI 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 agents using Copilot Studio and integrate with enterprise systems
• Develop custom plugins, connectors, and workflows to extend agent capabilities
• Lead technical design for Agent Factory (FFL) delivery and scaling models
• Work with customer teams to translate business use cases into technical solutions
• Implement RAG pipelines, integrations, and data orchestration for agent intelligence
• Set up and optimize Azure AI environments, landing zones, and deployment pipelines
• Ensure security, governance, and compliance in all solutions
• Collaborate with AI Transformation Advisors to deliver end-to-end customer impact
• Support testing, optimization, and continuous improvement of agent solutions

What You Bring Core Engineering & Architecture Skills

• Strong software engineering background (e.g. .NET, Python, JavaScript/TypeScript)
• Experience designing scalable cloud-native architectures
• Ability to lead technical design and architecture decisions

AI & Agent Development

• Hands-on experience with Copilot Studio and agent development
• Experience building AI solutions using Azure AI / Azure AI Foundry
• Understanding of multi-agent patterns, orchestration, and automation
• Experience integrating APIs, data sources, and enterprise systems

👉 Agents operate across business processes and systems, combining orchestration, automation, and knowledge layers to deliver real value [

Data & Integration

• Experience with RAG (Retrieval-Augmented Generation) architectures
• Knowledge of Azure AI Search, data pipelines, and indexing approaches
• Experience integrating with Microsoft Graph, SharePoint, and enterprise data sources

Security & Governance

• Understanding of enterprise security, identity (Entra ID), and data protection
• Experience implementing AI governance, compliance, and data security controls

👉 AI solutions are expected to include governance, identity, and security layers alongside agent orchestration and data acces

What Makes You Successful

• You can move from architecture to hands-on delivery seamlessly
• You build solutions that are production-ready, secure, and scalable
• You understand both technical design and real business impact
• You are comfortable working in fast-evolving AI environments
• You take ownership and drive technical outcomes end-to-end

Nice to Have

• Experience with Power Platform (Power Automate, Dataverse)
• Familiarity with Copilot extensibility and plugin models
• Experience with DevOps / CI-CD pipelines for AI solutions
• Knowledge of GCC customers and market
• Arabic language skills