AI Solution Architect

WorkiyWinnipeg, MB

About The Position

We are seeking an experienced AI Solution Architect to design, develop, and implement AI-powered solutions that improve business processes, enhance decision-making, and automate manual tasks. The successful candidate will work closely with business stakeholders to identify opportunities for artificial intelligence, automation, and agent-based solutions, translating business requirements into secure, scalable, and practical AI solutions. This role requires expertise in Microsoft AI technologies, enterprise solution architecture, stakeholder engagement, and end-to-end solution delivery from discovery through implementation.

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 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.

Nice To Haves

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

Responsibilities

  • 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.
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