Dataverse / Dynamics 365 AI Solution Architect
Department: Biz Apps - CE
Employment Type: Full Time
Location: Dublin, Dublin, Dublin
Key Responsibilities
What you will do
- Design enterprise-grade data models aligned to business processes using AI-assisted approaches, including enterprise data structures, cross-system relationships, and long-term scalability considerations.
- Define solution architecture, standards, and delivery patterns for Dataverse-based systems.
- Design and build AI-driven workflows and agents that generate Dataverse schema, configuration, structured documentation, and other delivery artefacts.
- Establish how AI tools such as Claude, GitHub Copilot, or Codex are used in a controlled, repeatable, and governed way across teams.
- Create accelerators, frameworks, and reusable assets that underpin delivery.
- Structure repositories and artefacts for AI consumption and reuse.
- Define controlled extension architectures, including React-based applications integrated with Dataverse and Azure Functions as orchestration or integration layers.
- Lead ALM, DevOps, and environment strategy, ensuring solutions are deployable and maintainable at scale.
- Provide technical leadership across teams, setting standards and guiding delivery.
Skills, Knowledge and Expertise
What we are looking for
Essential
- 7+ years experience working with Dataverse or Dynamics 365.
- Extensive hands-on experience designing and delivering complex Dataverse solutions.
- Deep expertise in entity modelling and data architecture.
- Experience applying AI tools in a structured, delivery-focused way.
- Experience designing or implementing AI-driven or agentic workflows.
- Strong understanding of ALM, DevOps, environment strategy, and solution governance.
- Experience defining standards, patterns, and reusable frameworks.
- Strong communication, stakeholder management, and technical leadership skills.
Desirable
- Experience building React applications integrated with Dataverse.
- Experience using Azure Functions for orchestration or integration.
- Familiarity with MCP servers or similar AI integration approaches.
- Experience building internal platforms or delivery accelerators.
- Consultancy or multi-project delivery experience.
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