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
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Design and implement end-to-end AI agent architectures across Microsoft 365 and Azure
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Build and deploy agents using Copilot Studio and integrate with enterprise systems
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Develop custom plugins, connectors, and workflows to extend agent capabilities
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Lead technical design for Agent Factory (FFL) delivery and scaling models
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Work with customer teams to translate business use cases into technical solutions
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Implement RAG pipelines, integrations, and data orchestration for agent intelligence
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Set up and optimize Azure AI environments, landing zones, and deployment pipelines
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Ensure security, governance, and compliance in all solutions
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Collaborate with AI Transformation Advisors to deliver end-to-end customer impact
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Support testing, optimization, and continuous improvement of agent solutions
What You Bring
Core Engineering & Architecture Skills
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Strong software engineering background (e.g. .NET, Python, JavaScript/TypeScript)
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Experience designing scalable cloud-native architectures
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Ability to lead technical design and architecture decisions
AI & Agent Development
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Hands-on experience with Copilot Studio and agent development
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Experience building AI solutions using Azure AI / Azure AI Foundry
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Understanding of multi-agent patterns, orchestration, and automation
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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
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Experience with RAG (Retrieval-Augmented Generation) architectures
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Knowledge of Azure AI Search, data pipelines, and indexing approaches
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Experience integrating with Microsoft Graph, SharePoint, and enterprise data sources
Security & Governance
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Understanding of enterprise security, identity (Entra ID), and data protection
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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
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You can move from architecture to hands-on delivery seamlessly
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You build solutions that are production-ready, secure, and scalable
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You understand both technical design and real business impact
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You are comfortable working in fast-evolving AI environments
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You take ownership and drive technical outcomes end-to-end
Nice to Have
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Experience with Power Platform (Power Automate, Dataverse)
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Familiarity with Copilot extensibility and plugin models
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Experience with DevOps / CI-CD pipelines for AI solutions
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Knowledge of KSA regulatory and data residency requirements
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Arabic language skills