AI Solutions Architect — Remote/Hybrid

Velosio, LLC; United States; Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Remote or hybrid work environment

401k Match

Wellness Program

Job summary

Velosio is seeking an AI Solution Architect to turn AI product concepts and business use cases into practical, buildable solutions. You will design how Microsoft AI services, agents, enterprise data, APIs, Dynamics 365 applications, and Velosio IP collaborate across Business Central, CE, and F&O.

You will partner with Product Management, AI Developers, and delivery teams to establish reusable patterns, develop prototypes, and guide engineering in secure, scalable AI architectures.

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

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

Skills

AI architecture

AI engineering

Azure engineering

Software development

APIs integration

Tools

C#

Python

REST APIs

Job description

Velosio is seeking an AI Solution Architect to turn AI product concepts and business use cases into practical, buildable solutions. You will design how Microsoft AI services, agents, enterprise data, APIs, Dynamics 365 applications, and Velosio IP collaborate across Business Central, CE, and F&O.

You will partner with Product Management, AI Developers, and delivery teams to establish reusable patterns, develop prototypes, and guide engineering in secure, scalable AI architectures.