Requirements

Expected technologies

Python

Azure AI Foundry

Microsoft Copilot Studio

Azure AI Agent Service

Semantic Kernel

Power Platform

Power Automate

Power Apps

Dataverse

Microsoft Graph

Optional technologies

Python

Microsoft 365 Agents SDK

OAuth 2.0

SAP

Oracle

Our requirements

• 4+ years of experience in Conversational AI development, with significant hands-on experience in Microsoft Copilot Studio.
• Proficiency in building custom connectors and actions within Power Platform or Logic Apps.
• Deep hands-on expertise with Microsoft Azure AI services, including Azure AI Foundry, Azure AI Agent Service, Microsoft Copilot Studio, and Semantic Kernel.
• Strong understanding of Power Platform integration (Power Automate, Power Apps, Dataverse).
• Experience with enterprise data connectivity, including Microsoft Graph connectors.
• Proven ability to deliver scalable and secure AI solutions.
• Demonstrated leadership in designing generative AI solutions, including effort estimation, pricing, and client-facing business case development.
• Strong understanding of cloud design patterns, enterprise integration patterns, and responsible engineering practices.
• Experience identifying opportunities for transformation, automation, and AI within enterprise environments.
• Working knowledge of cloud architectures (AWS, GCP, Azure), enterprise integration patterns, and DevOps practices.
• Solid grasp of advanced AI concepts such as multi-agent workflows, reasoning and decision engines, and autonomous agent design.

Optional

• Experience with Python for programmatic interaction with Copilot Studio agents (e.g., Semantic Kernel).
• Familiarity with the Microsoft 365 Agents SDK.
• Knowledge of OAuth 2.0 authentication with Microsoft Entra ID for secure integrations.
• Experience with rapid prototyping of generative and agentic AI solutions.
• Familiarity with Microsoft, SAP, and Oracle suites and their integration with AI.
• Experience with AI safety testing frameworks.
• Background in consulting or experience in a client-facing technical specialist role.

Your responsibilities

• You will take ownership of the full lifecycle of AI agent development - from initial design and integration to deployment and optimization. This includes building custom connectors to integrate with external APIs and data sources and implementing advanced conversational AI capabilities based on large language models. You will ensure that all solutions meet enterprise-grade security and compliance standards. Your role also involves troubleshooting and maintaining deployed applications and providing technical leadership and support to team members working on cross-platform integrations and AI-driven automation.