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