AI Solution Architect

• Collaborate with business stakeholders to identify opportunities for AI, automation, and intelligent agent solutions.
  


• Gather, analyze, document, and validate business and technical requirements.
  


• Assess business challenges and determine the suitability of AI-enabled solutions.
  


• Design, develop, test, and implement AI-powered solutions using Microsoft Copilot Studio and related Microsoft technologies.
  


• Build prototypes and proof-of-concepts while incorporating stakeholder feedback.
  


• Integrate AI solutions with Microsoft 365, Azure services, Power Platform, enterprise applications, APIs, and other business systems.
  


• Produce comprehensive solution documentation, including requirements, architecture, design decisions, testing results, deployment documentation, user guides, and knowledge transfer materials.
  


• Collaborate with security, privacy, architecture, and technology teams to ensure solutions comply with enterprise security, governance, privacy, and operational standards.
  


• Identify technical risks and support security reviews throughout the solution lifecycle.
  


• Participate in workshops, discovery sessions, demonstrations, user acceptance testing, and solution adoption activities.
  


• Provide deployment support and knowledge transfer to internal teams.
  


• Work independently while managing multiple priorities in a dynamic enterprise environment.
  

Requirements

• Experience working directly with business users to gather, clarify, document, and
  validate business requirements for technology or AI-enabled solutions.
  


• Experience designing, building, testing, and implementing AI-enabled solutions using
  Microsoft Copilot Studio, agents, or comparable low-code/no-code AI development
  platforms.
  


• Experience facilitating workshops, discovery sessions, demonstrations, user testing, or
  adoption activities with business areas and technical teams.
  


• Experience integrating solutions with Microsoft 365, Power Platform, Azure services,
  enterprise data sources, APIs, or other business systems.
  


• Experience producing clear solution documentation, including requirements, design
  decisions, testing results, deployment notes, user guidance, and knowledge transfer
  materials.
  


• Demonstrated ability to work independently, manage competing priorities, and move
  solutions from discovery through implementation in a complex enterprise environment.Experience with Microsoft Foundry, Azure AI Foundry, Azure OpenAI, or related


• Experience with Microsoft Foundry, Azure AI Foundry, Azure OpenAI, or related Microsoft AI services.
  


• Experience with Claude Code, GitHub Copilot, or other agentic development tools used to support solution design, prototyping, development, testing, or documentation.
  


• Experience designing, implementing, or integrating Model Context Protocol (MCP) servers or similar patterns for securely connecting AI agents to tools, systems, and data sources.
  


• Experience with Power Platform components, including Power Automate, Power Apps, Dataverse, custom connectors, and environment governance.
  


• Relevant Microsoft certifications related to Azure, AI, Power Platform, security, or solution architecture would be considered an asset, but are not required.