Deployment Engineer & Architect

Overview

We are looking for a Deployment Engineer and 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.

• Core Engineering & Architecture Skills – Strong software engineering background (e.g., .NET, Python, JavaScript, Type Script); 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 , and data protection; experience implementing AI governance, compliance, and data security controls; AI solutions expected to include governance, identity, and security layers.

• 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 Dev Ops CI/CD pipelines for AI solutions.
• Knowledge of KSA regulatory and data residency requirements.
• Arabic language skills.