AI Solution Architect

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. Key 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. ### 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.