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Deployment Engineer & Architect - UAE

Hiring from
United Arab Emirates
Work type
Hybrid
Posted
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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

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