Deployment Engineer & Architect

Sulava MEA; Abu Dhabi; Sur place; AED 180 000 - 300 000; Plein temps

Résumé du poste

Sulava MEA seeks a Deployment Engineer & Architect to lead design, development, and deployment of AI agent solutions using Microsoft Copilot, Copilot Studio, and Azure AI services. The role blends hands-on engineering with architectural leadership to deliver scalable, secure AI solutions.

The incumbent will drive production-ready agent delivery, govern the Agent Factory (FFL) model, and collaborate with customer teams to translate business use cases into technical outcomes, while ensuring

Qualifications

• Strong software engineering background with modern languages and patterns.
• Experience designing scalable cloud-native architectures and leading technical design decisions.
• Hands-on with AI agent development and Copilot Studio.

Responsabilités

• Design end-to-end AI agent architectures across Microsoft 365 and Azure.
• Build and deploy agents using Copilot Studio and enterprise integrations.
• Develop plugins, connectors, and workflows to extend agent capabilities.

Connaissances

NET

Python

TypeScript

Cloud design

Outils

Copilot Studio

Azure Foundry

Azure AI

Microsoft Graph

Description du poste

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

Agents operate across business processes and systems, combining orchestration, automation, and knowledge layers to deliver real value [

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

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 GCC customers and market
• Arabic language skills