AI Solution Architect

About the position:

Velosio is looking for a AI Solution Architect to help turn AI product concepts and business use cases into practical, buildable solutions.

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.

Your day might look like:

• Translate product requirements and business use cases into technical AI solution designs
• Design AI agents and agent-driven workflows using Microsoft AI technologies
• Define how agents access data, call tools and APIs, interact with Dynamics 365, and complete actions safely
• Design retrieval-augmented generation (RAG), knowledge retrieval, context management, and Model Context Protocol (MCP) patterns
• 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

What you'll bring:

• 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
• How success will be measured: 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
• Who we are: At Velosio, we focus on what matters most - our people. We are a values-driven organization committed to delivering an outstanding employee experience to all our team members.
• Velosio’s years of experience with business applications translate to a deep bench of tenured team members with competency across enterprise resource management (ERP), customer relationship management (CRM), and cloud services.
• We have earned recognition from Microsoft as a top 1% performing partner worldwide and an emerging NetSuite leader. We have strategic independent software vendor (ISV) partnerships and a portfolio of solution and service offerings to accelerate what’s next for business.
• Our mission is to enable clients to realize business value faster, simplify the process of deploying technology, acquire deeper data-driven insights, and explore ongoing innovation to drive business forward. We support the entire Microsoft Dynamics portfolio, Office 365 family and Azure services. Velosio is the only Microsoft Cloud Distributor that specializes in Dynamics 365 and is a prominent Microsoft Master VAR. Headquartered in Atlanta, Georgia, Velosio’s 400 employees serve over 4,000 clients.

Responsibilities

• Translate product requirements and business use cases into technical AI solution designs
• Design AI agents and agent-driven workflows using Microsoft AI technologies
• Define how agents access data, call tools and APIs, interact with Dynamics 365, and complete actions safely
• Design retrieval-augmented generation (RAG), knowledge retrieval, context management, and Model Context Protocol (MCP) patterns
• 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

Qualifications

• 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
• How success will be measured: 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