Job Description

Roles & Responsibilities

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

• Strong software engineering background (e.g. .NET, Python, JavaScript/TypeScript)

• 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

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

• 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 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

• 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 DevOps / CI-CD pipelines for AI solutions

• Knowledge of KSA regulatory and data residency requirements

• Arabic language skills