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# AI Solution Architect

- **Company:** Velosio, LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Logic, Automation of Tests, Microsoft Azure, Business Software, C Sharp (Programming Language), Continuous Integration, Custom Software, Data Governance, Data Hub, Data Security, Github, HP Systems Insight Manager, JSON, Python (Programming Language), Microsoft Dynamics, Software Product Management, OpenAI, Azure Active Directory, Cloud Services, Microsoft Copilot, Software Engineering, Enterprise Search, Enterprise Data Management, Enterprise Application Integration, Data Logging, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Microsoft Fabric, Microsoft Copilot Studio, AI Platforms, Microsoft Business Central, Microsoft Dynamics 365 Finance & Operations, Prompt Injection, Restful APIs, Semantic Kernel, Software Version Control, Api Management, Serverless Computing, Human in the Loop
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=89681e6962ae2de6

## About the Role

* 3+ years of experience in solution architecture, software development, Azure engineering, AI engineering, enterprise application integration, or a related technical role
 * Hands-on experience designing or developing generative AI, Copilot, agent, RAG, or LLM-based solutions
 * Working knowledge of Azure OpenAI and several of the following: Microsoft Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, MCP, Dataverse, Power Platform, or Microsoft Fabric
 * Experience with C# and/or Python, REST APIs, JSON, cloud services, source control, and CI/CD practices
 * Experience integrating enterprise applications, data sources, and services through APIs
 * Ability to explain technical designs clearly to developers, product managers, Dynamics specialists, and business stakeholders
 * Ability to work effectively in an emerging technology environment where requirements and architecture evolve quickly

You might also bring:

 * Experience with at least one Microsoft business application: Dynamics 365 Business Central, Dynamics 365 Customer Engagement/Dataverse, or Dynamics 365 Finance & Operations
 * Experience with Microsoft Entra ID, Azure Functions, Azure API Management, GitHub, Azure DevOps, application monitoring, or automated testing
 * Understanding of AI security, responsible AI, data governance, prompt injection risks, and human-in-the-loop controls
 * Microsoft certifications such as AI-102, AZ-305, PL-600, or relevant Dynamics 365 credentials
 * Experience working for a Microsoft partner, software company, consulting organization, or enterprise product team

## Description

As a AI Solution Architect at Velosio, you will design how Microsoft AI services, agents, enterprise data, APIs, Dynamics 365 applications, and Velosio intellectual property work together. Working closely with Product Management, AI Developers, Dynamics architects, and delivery teams, you will help establish reusable technical patterns that support Business Central, Customer Engagement, and Finance & Operations., * Recommend when to use Microsoft first-party capabilities, custom development, or reusable Velosio IP

 * Create common AI services and components that can be reused across Business Central, Customer Engagement, and Finance & Operations
 * Define reference patterns for authentication, authorization, agent orchestration, APIs, logging, monitoring, testing, and deployment
 * Build prototypes and proofs of concept to validate new technologies, architecture choices, and high-risk components
 * Partner with AI Developers to convert architectural designs into working, supportable software
 * Participate in technical design, code, and architecture reviews
 * Work with BC, CE, and F&O specialists to connect AI capabilities to Dynamics 365 data, processes, and extensibility frameworks
 * Design integrations using Business Central APIs and AL extensions, Dataverse and Power Platform, and F&O data entities, business events, and APIs
 * Define clear boundaries between the shared AI platform, application-specific components, and product-specific business logic
 * Ensure designs account for security roles, data access, client isolation, error handling, and human approval where appropriate
 * Evaluate relevant capabilities across Microsoft Foundry, Azure OpenAI, Copilot Studio, Azure AI Search, Semantic Kernel, Microsoft Fabric, Dataverse, Power Platform, Azure Functions, API Management, Entra ID, GitHub, and Azure DevOps
 * Create technical documentation, architecture diagrams, decision records, and development guidance for reusable AI patterns, * AI product concepts are translated into clear, buildable architectures and development guidance
 * Engineering teams have practical standards for agents, RAG, MCP, APIs, security, testing, monitoring, and deployment
 * New Microsoft AI capabilities are evaluated quickly and adopted selectively based on business value and technical fit
 * At least one priority AI capability progresses from architecture or prototype into working product functionality