Azure Architect

Responsibilities

• Work with customers on establishing their AI Strategy & prioritizing use cases that drive business value with Azure AI Services (Vision, Speech, Language etc.) & Generative AI.
• Understand customer requirements and challenges to recommend optimal technology solutions.
• Deliver architectural design sessions, pilots/POCs leveraging Azure AI Services and Azure OpenAI Services.
• Develop POCs and MVPs to showcase the capabilities of CoPilot Studio, Power Apps, and Power Automate.
• Develop Copilot plugins and connectors for enhanced functionality.
• Document the architecture, design, and best practices for AI solutions.
• Act as subject matter expert, Mentor and guide other team members in AI best practices and tools.

Required Qualifications

• Overall 10+ years of experience with 3+ years of cloud-based AI technical solutions development including, but not limited to, any of the following: Azure Cognitive Services; AI Voice Assistants; AI Chatbots; AI Image Recognition and Computer Vision, AI Natural Language Processing; AI Recommendation Systems; AI Sentiment Analysis; AI Virtual Realty; AI Autonomous Systems; AI Healthcare Applications.
• Hands-on development experience with Microsoft cloud technologies such as Azure, Power Platform, Microsoft 365, etc.
• Proficiency in one or more programming languages such as C#, Python, JavaScript, etc.
• Copilot Studio skills: You need to know how to use Microsoft Copilot Studio / PVA to create and manage bots, topics, actions, variables, plugins and analytics. Create custom AI solutions for your Microsoft Copilot applications.
• Power Platform skills: You need to know how to use Power Apps, Power Automate, Power Virtual Agents, and AI Builder to build low-code applications that can leverage Microsoft Copilot capabilities.
• Knowledge of ALM, Azure DevOps, CI/CD and Automation.
• Certifications in Microsoft AI, Power Platform, Azure.
• Excellent communication and problem-solving skills
• Experience in customer-facing role and success leading deep technical discussions with partners, architects, data scientists and developers.