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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Customer Experience Engineering

United States, Redmond 100600.00 - 199000.00 USD / Year · Job Posted March 19, 2026
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Job Description

AI is reshaping how enterprises operate, and the Dynamics 365 AI FDE team sits at the forefront of that transformation. As part of the Customer Experience (CX) organization, you will help strategic customers move from AI experimentation to real, production-grade impact by designing, building, and operationalizing AI agents across ERP, CRM, and enterprise workflows. In this role, you will work directly with customers as a hands-on technical leader—equally comfortable whiteboarding architecture and writing production code. You will translate business needs into scalable solutions using Microsoft Copilot Studio, Power Platform, Dynamics 365, Dataverse, and Azure, operating at the intersection of solution architecture, software development, and customer delivery.

Job Responsibility

  • Independently leads customer discovery, solution design, and architecture discussions for AI agent scenarios across Dynamics 365 ERP, Power Platform, and Dataverse.
  • Designs and develops hands-on solutions using Power Apps, Power Automate, Copilot Studio, Dataverse, .NET, Python, and extensibility patterns to build and deliver AI-driven business processes.
  • Translates customer business challenges into scalable, secure AI agent architectures aligned with enterprise governance, compliance, and application lifecycle management (ALM) standards.
  • Drives customer adoption, optimization, and operational readiness for AI agents, including proof-of-concepts, pilots, and production deployments.
  • Acts as a trusted technical advisor and serves as a connecting point between engineering teams and customer stakeholders throughout the solution lifecycle.
  • Partners with engineering, sales, product, and customer success teams to unblock adoption challenges, influence product roadmap priorities, and deliver working AI agent solutions.
  • Identifies and pursues developmental opportunities across product areas for professional growth.

Requirements

  • Bachelor's Degree Engineering, Computer Science, Information Technology (IT), Data Analytics/Science, Artificial Intelligence (AI), or related field AND 2+ years experience in technology industry, cloud, technical support, and/or customer experience engineering OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice to have

  • Bachelor’s Degree in Engineering, Computer Science, Information Technology (IT), Data Analytics/Science, Artificial Intelligence (AI), or related field AND 5+ years experience in technology industry, cloud, technical support, and/or customer experience engineering OR equivalent experience.
  • Experience with Microsoft Copilot Studio, Power Platform (Power Apps, Power Automate), Dynamics 365 Finance and Supply Chain Management, Dynamics 365 CRM, or Dataverse in enterprise environments.
  • Background in data science, machine learning, or data analytics, with experience applying statistical or AI/ML techniques to solve business problems.
  • Familiarity with AI agent design patterns, Model Context Protocol (MCP), retrieval-augmented generation (RAG), and extensibility patterns across enterprise platforms.
  • 1+ year(s) of customer-facing experience with proven ability to communicate complex technical concepts to both technical and non-technical stakeholders.
  • Microsoft certifications in Azure, Power Platform, or Dynamics 365.
  • Experience working with AI tools and platforms such as Azure OpenAI, OpenAI, Anthropic Claude, or similar large language model (LLM) technologies and agent frameworks.
  • Proficiency in software development using .NET, Python, or similar programming languages, with experience building or integrating cloud-based solutions.
  • Understanding of application lifecycle management (ALM), CI/CD build pipelines, and DevOps practices for enterprise solution delivery.
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