Deployment Engineer & Architect

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 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 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 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