MS Dynamics 365 AI Developer

Job Overview:

• Design, develop, and maintain custom components including plugins, workflows, Power Automate flows, and JavaScript for Dynamics 365 CE modules.
• Implement minor enhancements and resolve defects based on business requirements and AMS priorities.
• Collaborate with Business Analysts to convert functional requirements into robust technical solutions.
• Conduct code reviews, perform unit testing, and manage deployments across environments.

Power Platform and Copilot Studio:

• Build Power Apps (Canvas, Model-driven, and Portals) and automate processes using Power Automate.
• Develop and deploy Copilot Studio solutions, including intelligent chatbots and virtual assistants with NLU/NLG capabilities.
• Integrate Copilot Studio with Power Platform components and external systems; manage custom topics, entities, and actions.
• Utilize AI Builder for predictive modeling, form processing, and automation scenarios.

Integration Architecture:

• Integrate solutions with enterprise systems using REST APIs, Azure Functions, Logic Apps, and Dataverse.
• Ensure adherence to security, governance, and performance standards across all environments.

DevOps and Lifecycle Management:

• Manage CI/CD pipelines through Azure DevOps and implement ALM best practices.
• Maintain technical documentation and support release cycles effectively.

Required Qualifications:

• Minimum 5 to 10 years of hands-on experience with Microsoft Dynamics 365 CE and Power Platform.
• Proficiency in C#, .NET, JavaScript, and Dynamics SDK.
• Strong understanding of Copilot Studio conversational AI design and AI Builder capabilities.
• Familiarity with solution packaging, deployment, and version control.

Preferred Qualifications:

• Microsoft Certified: Power Platform Developer Associate (PL-400).
• Microsoft Certified: Dynamics 365 Developer Associate.
• PL-600 or MB-600 for Solution Architecture roles.

Nice To Have:

• Azure AI Engineer Associate.
• Azure AI-900 Certification.
• Experience with PCF controls, Power Pages, and advanced AI integrations.
• Knowledge of Azure AI Services, AI Foundry, and modern data integration frameworks.
• Familiarity with ITIL processes and Agile delivery methodologies.