About the Role
We are seeking a Deployment Engineer & Architect to lead the design, development, and deployment of AI agent solutions utilizing Microsoft Copilot, Copilot Studio, and Azure AI services for our customers. This role combines hands-on engineering with architecture leadership, focusing on building scalable, secure, and impactful AI solutions. You will play a crucial role in our Agent Factory (FFL) model, delivering production-ready AI agents that transform business processes.
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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
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
