Deployment Engineer & Architect
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Key skills for this role
About the Role
Lead design and deployment of AI agent solutions using Microsoft Copilot and Azure AI, focusing on scalable architecture and security compliance.
Key Skills for This Role
Responsibilities
- 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
Requirements
- Strong software engineering background (e.g. .NET, Python, JavaScript/TypeScript)
- Experience designing scalable cloud native architectures
- 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
- Experience with RAG 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
Full Job Posting
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
- 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
- Experience with RAG 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
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 KSA regulatory and data residency requirements
- Arabic language skills
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