Deployment Engineer & Architect – AI Solutions

About the role

We are seeking a Deployment Engineer & Architect to lead the design, development, and deployment of AI agent solutions using Microsoft Copilot, Copilot Studio, and Azure AI services. This hybrid engineering‑architecture position focuses on building scalable, secure, production‑ready AI agents that transform business processes.

Key responsibilities

• Design and implement end‑to‑end AI agent architectures across Microsoft 365 and Azure.
• Build and deploy agents with Copilot Studio and integrate them with enterprise systems.
• Develop custom plugins, connectors, and workflows to extend agent capabilities.
• Lead technical design for the Agent Factory (FFL) delivery and scaling models.
• Translate customer business use cases into technical solutions and implement RAG pipelines, data orchestration, and Azure AI landing zones.
• Ensure security, governance, and compliance across all solutions.

Required profile

• Strong software engineering background with experience in .NET, Python, and JavaScript/TypeScript.
• Proven ability to design scalable cloud‑native architectures and lead technical decisions.
• Hands‑on experience with Copilot Studio, Azure AI services, and multi‑agent orchestration patterns.
• Understanding of enterprise security, identity (Entra ID), and AI governance.

Required skills

• .NET
• Python
• JavaScript/TypeScript
• Copilot Studio
• Azure AI / Azure AI Foundry
• RAG (Retrieval‑Augmented Generation) architectures
• Azure AI Search and data pipelines
• Microsoft Graph and SharePoint integration
• Entra ID (Azure AD)
• Power Platform (Power Automate, Dataverse) – nice to have
• DevOps / CI‑CD pipelines for AI solutions – nice to have