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 KSA regulatory and data residency requirements
- Arabic language skills
