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
Full Job Posting
Overview
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
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 And 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
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