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Microsoft Dynamics 365 & Copilot Tech Lead

Dechen Consulting GroupDearborn, MI🇺🇸United StatesPosted Oct 5, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Dearborn, MI, United States
Posted
Yesterday
AgileAzureC#CRM.NETASP.NETGenerative AIGitJavaScriptJiraRESTTypeScript

Job Description

  • W2 only – no C2C
  • Onsite: Michigan
  • Potential contract to hire position

• Set technical direction and engineering standards for the team, including design patterns, code quality, security, performance, reuse, testing, documentation, and supportability. 
• Lead development and deployment of custom Copilots and AI agents using Microsoft Copilot Studio and, where appropriate, Azure OpenAI and Azure AI services; apply prompt engineering, retrieval-augmented generation (RAG), grounding, and evaluation practices. 
• Design and deliver integrations between Dynamics 365, Power Platform, Azure services, enterprise applications, APIs, and knowledge repositories. 
• Guide configuration and customization of Dynamics 365, including forms, views, dashboards, business process flows, navigation, web resources, ribbon customizations, and application solutions. 
• Provide hands-on technical leadership for C# plug-ins, custom workflows, JavaScript/TypeScript extensions, XRM development, OData/Web API integrations, and custom APIs. 
• Oversee delivery of model-driven and canvas Power Apps, Power Automate workflows, Azure Logic Apps, Azure Functions, and CRM portal or related portal solutions. 
• Ensure solutions follow enterprise security, privacy, data governance, accessibility, and responsible AI practices; identify and manage technical risks and dependencies. 
• Lead technical design reviews, code reviews, estimates, testing strategy, release readiness, incident/problem resolution, and production support for critical solutions. 
• Guide source control, branching, build and release automation, CI/CD, and application lifecycle management using Git/GitHub and Azure DevOps or equivalent tooling. Mentor developers and technical team members, promote knowledge sharing, and coordinate effectively with architects, PDO teams, QA, product owners, vendors, and business stakeholders. Assess platform updates and emerging Microsoft AI capabilities; recommend improvements that enhance business value, reliability, user experience, and operational efficiency.

Skills Required:
must have CRM experience AIPGEE Connectivity/integration experience Microsoft Azure Strong development experience with JavaScript and C# Jira and GitHub Hands-on experience with Microsoft Copilot

Experience Required:
• 15+ years of progressive experience in software engineering, enterprise application development, and technical solution delivery, including significant technical leadership responsibility. 
• Extensive hands-on experience with Microsoft Dynamics 365 CRM, including architecture or solution design, configuration, customization, development, integration, and deployment. 
• Demonstrated experience leading enterprise-scale Dynamics 365 and Power Platform implementations from discovery through production support. 
• Strong development experience with C#, .NET/ASP.NET, JavaScript and/or TypeScript, Dynamics 365 plug-ins, custom workflows, XRM Framework, and OData/Web APIs. 
• Experience building solutions with Power Apps (model-driven and canvas), Power Automate, and business process flows. 
• Practical experience with integrations using REST/Web APIs, custom APIs, Azure Functions, Azure Logic Apps, or comparable Azure integration services. 
• Experience with Git-based source control and Azure DevOps, CI/CD pipelines, release management, and ALM practices. 
• Ability to communicate architecture and technical tradeoffs clearly to technical and nontechnical audiences, and to lead collaborative Agile delivery. 
• Hands-on experience with Microsoft Copilot Studio and integrating Copilot or conversational AI capabilities into Dynamics 365 and Power Platform solutions. 
• Solid understanding of LLMs, prompt engineering, RAG, knowledge grounding, AI agent design/orchestration, and methods for evaluating AI quality and safety.

Experience Preferred:
• Experience with Azure OpenAI Service, Azure AI Services, Microsoft AI SDKs, and enterprise conversational AI or virtual assistants. 
• Experience applying generative AI to business workflows, customer service, employee productivity, recommendations, or insight generation. 
• Experience with Dynamics 365 Customer Service and Omnichannel, customer-service operations, portals, and enterprise knowledge sources. 
• Experience with platform governance, environment strategy, identity and access management, data protection, observability, and production operations.

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