Genzeon, an AI and automation company with deep engineering and data expertise, dedicated to serving the healthcare and retail industries. Our platform solutions – including HIP One, CompliancePro Solutions, and Patient Engagement Solutions – empower organizations to scale innovation and transform outcomes.
Genzeon is a global community of innovators and problem-solvers, with a culture built on inclusion, flexibility, and purpose-driven work. With four global delivery centers, we support providers, payers, Healthtech, and retail organizations worldwide.
Genzeon has an exciting opening for Solution Architect – Microsoft Technologies to join our dynamic team.
Role: Solution Architect – Microsoft Technologies
Role Type: FTE
Role Location: USA (Remote)
Role Category: Solution Architecture / AI Solutions
Education:
UG: B.Tech/B.E. in any specialization (or equivalent technical degree)
Key Skills:
Microsoft Azure | Microsoft Copilot Studio | Azure AI Search | Dynamics 365 | Power Platform | GenAI | AI/ML | .NET | C# | SQL | Data Engineering
Nice to Have:
Power BI | Data Modelling | AI Integration with Dragon Copilot | Azure OpenAI Services | MLOps
RESPONSIBILITIES:
- Architect AI-driven Microsoft solutions: Design and implement enterprise-grade solutions leveraging Microsoft technologies such as Copilot Studio, Dynamics 365, Power Platform, and Azure AI Services.
- Lead AI and automation strategy: Define and drive the AI adoption roadmap across Microsoft business applications, identifying opportunities for Copilot integration and intelligent automation.
- Solution Design & Integration: Architect end-to-end solutions connecting Dynamics 365, Azure Data Services, and Copilot Studio, ensuring scalability, performance, and security.
- Copilot Development: Lead the creation and customization of Copilot experiences using Copilot Studio and AI Builder, integrating with Dynamics 365 Customer Insights, Sales, and Service modules.
- Dragon Copilot Expertise: Utilize Dragon Copilot frameworks for building, training, and deploying domain-specific copilots, enabling contextual business intelligence and productivity improvements.
- AI/ML and Data Engineering: Collaborate with data scientists and AI engineers to integrate machine learning models into Microsoft business applications and data pipelines.
- API & System Integration: Design reusable APIs and connectors between AI services, Microsoft applications, and third-party systems.
- Cloud Architecture: Leverage Azure cloud capabilities (Data Factory, Synapse, Machine Learning, Cognitive Services) to create robust, AI-enabled data platforms.
- Governance & Best Practices: Establish scalable, secure, and efficient processes for solution delivery — including DevOps, CI/CD pipelines, monitoring, and model lifecycle management.
- Client Engagement: Act as a trusted advisor, communicating complex AI and Microsoft solution strategies clearly to both technical and business stakeholders.
- Knowledge Leadership: Promote innovation and best practices across teams, mentoring engineers on AI integration, Copilot development, and Microsoft technology modernization.
REQUIREMENTS:
- 10+ years of experience in designing and delivering enterprise Microsoft-based solutions.
- 5+ years of experience with Azure, Dynamics 365, Power Platform, or related ecosystems.
- Strong hands-on experience in .NET, C#, SQL, and Microsoft Cloud architecture.
- Proven experience with AI/ML integration using Azure AI Services, OpenAI APIs, or Copilot Studio.
- Expertise in solution architecture involving data pipelines, cloud-native applications, and AI-enabled workflows.
- Exposure to Dragon Copilot or similar AI orchestration platforms is preferred.
- Strong understanding of data modelling, API design, and security best practices.
- Excellent communication skills to interface with clients, engineering teams, and leadership.
- Advanced knowledge of AI frameworks, generative AI concepts, and Microsoft Copilot customization.
- Hands-on experience with Azure Vector Database (e.g., Cosmos DB vector search / Azure AI Search vector indexes) for semantic retrieval and RAG.
Preferred Certifications (Good to Have):
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Power Platform Solution Architect Expert
- Microsoft Certified: Dynamics 365 + Power Platform AI Specialist
- Azure AI Engineer Associate
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