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 KSA regulatory and data residency requirements
Arabic language skills
- Department
- Deploy
- Role
- Deployment Engineer & Architect
- Locations
- Saudi Arabia – Riyadh, UAE – Abu Dhabi
- Remote status
- Hybrid
About Sulava MEA
Sulava MEA is the first AI-native Microsoft Partner in the region and the 2025 Global Copilot & Agents Partner of the Year.
We are global pioneers in Copilot, the first partner to achieve the Copilot Advanced Specialization, and a two-time Microsoft Partner of the Year finalist in 2024. Our team is the most skilled in the region, including over ten Microsoft MVPs.
With experience from more than 250 Copilot customer organizations in the MEA and over 300,000 trained employees, our impact is unmatched. Our Frontier Firm Live concept and deep Microsoft partnerships enable us to accelerate AI and Copilot adoption at scale, backed by recognition such as the Microsoft Security 20/20 Award.