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