Dynamics AI Engineer
About The Position
The AI Engineer will design, develop, and deploy advanced artificial intelligence solutions—including Microsoft Copilot capabilities—within the Dynamics 365 ecosystem. This role requires hands-on experience customizing AI-driven processes, integrating with Dynamics 365 (Power Platform, Dataverse), and collaborating with cross-functional teams to deliver automation and enhanced user experiences. The engineer will focus on CRM and healthcare-related applications, particularly those supporting call center operations, ensuring intelligent automation, streamlined workflows, and improved patient or customer service outcomes in regulated environments.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related STEM field.
- 3+ years of hands-on AI/ML engineering experience within enterprise or cloud environments.
- Expertise with Microsoft Azure AI services (AI Builder, Azure Cognitive Services, Power Platform AI integrations).
- Experience with Dynamics 365 APIs and developing custom plugins/extensions.
- Strong development skills in Python and/or C#.
- Familiarity with NLP, ML model deployment, and data engineering best practices.
- Experience working in Agile Scrum environments and cross-functional teams.
- Excellent communication skills for interfacing with technical and business stakeholders.
Nice To Haves
- Microsoft certifications (Azure AI Engineer Associate, Power Platform certifications).
- Experience supporting government or healthcare environments (VA preferred).
- Prior experience deploying Copilot or similar Microsoft AI-driven automations.
- Understanding of Power BI and integrating AI outputs into dashboards.
Responsibilities
- Copilot & Dynamics Integration: Design, build, and enhance Microsoft Copilot (out-of-the-box and custom) features within Dynamics 365 for case management and business processes.
- AI Solution Development: Create machine learning models, NLP solutions, and data-driven automation supporting Copilot and Dynamics workloads.
- Custom AI Implementation: Architect and deploy custom AI models or algorithms tailored to unique business or VA requirements, ensuring seamless integration with Dynamics 365 and related systems.
- Data Engineering: Prepare, process, and analyze data from Dataverse, Power Platform, and external VA systems to enable AI capabilities.
- Prototyping & POCs: Translate business requirements into proof-of-concept Copilot use cases; demo, refine, and iterate solutions.
- Testing & Validation: Lead testing, performance monitoring, and real-world validation of AI solutions.
- Documentation & Training: Produce documentation and support end-user training and solution handoff to operations teams.
- Continuous Improvement: Monitor solution performance, gather feedback, and recommend enhancements while staying current on Microsoft/Azure AI advancements.
- Compliance & Security: Ensure all AI solutions adhere to VA, federal, and organizational standards for privacy, security, and ethical AI use.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
