Requirements

Expected technologies

Microsoft Azure

Azure AI Foundry

Azure AI Agent Service

Microsoft Copilot Studio

Semantic Kernel

AWS

GCP

DevOps

Optional technologies

Power Platform

SAP

Oracle

Our requirements

• 5+ years of experience in data and automation solution architecture using Microsoft technologies, with a proven successes in Generative and Agentic AI.
• Proven track record in leading solution design for generative technologies, including effort estimation, pricing, and client-facing business case development.
• Deep hands-on expertise with Microsoft Azure AI services, including Azure AI Foundry, Azure AI Agent Service, Microsoft Copilot Studio, and Semantic Kernel.
• Demonstrated leadership in designing scalable, secure, and compliant enterprise AI solutions.
• 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.
• Strong grasp of advanced AI concepts such as multi-agent workflows, reasoning and decision engines, and autonomous agent design.
• Fluent in English

Optional

• Experience with multi-tenant applications and building mission-critical workloads on Azure.
• Familiarity with MLOps, LLMOps, and FinOps practices.
• Prior knowledge of Power Platform is a significant advantage.
• Understanding of Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols.
• Experience with rapid prototyping of generative and agentic AI solutions.
• Familiarity with Microsoft, SAP, and Oracle suites and their AI integration capabilities.
• Experience with AI safety testing frameworks.
• Background in consulting or experience in a client-facing technical specialist role

Your responsibilities

You will define and enforce architectural standards and best practices for AI solutions built with Microsoft Copilot Studio and Azure AI. Leading technical design sessions, you will guide teams through the implementation of complex, enterprise-ready AI systems. You will oversee the integration of AI agents with Microsoft Azure, Microsoft 365, and Power Platform, ensuring seamless interoperability and performance. A key part of your role will be to champion responsible AI practices, ensuring that all solutions adhere to cloud-native design principles and responsible engineering standards. You will also provide hands-on leadership during implementation, offering project oversight and mentoring to elevate the technical capabilities of the team.