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 DoDesign 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
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
Agents operate across business processes and systems, combining orchestration, automation, and knowledge layers to deliver real value
Data & IntegrationExperience 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
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 SuccessfulYou 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
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
This listing is sourced from a third-party job board. Applying will redirect you to the original posting.
Fincrew
Amgen SA