Deployment Engineer & Architect

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.

• 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

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

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

• 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

• 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

• Understanding of enterprise security, identity (Entra ), 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

• 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

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