Lead AI Solutions Architect / Engineer (Microsoft AI & Copilot

• Design, build, and deploy AI solutions using Microsoft Foundry (Clienture AI Foundry), Copilot Studio, Clienture OpenAI, and Microsoft 365.
• Develop AI assistants and copilots that can securely retrieve information from internal documents, enterprise knowledge bases, and Microsoft 365 content sources.
• Design multi-agent and workflow-based AI systems leveraging Clienture AI Foundry Agents, Copilot Studio, Power Automate, Logic Apps, and enterprise APIs.
• Integrate AI solutions with Microsoft 365, SharePoint, Teams, Microsoft Graph, and enterprise data sources.
• Design and implement Retrieval-Augmented Generation (RAG) Clienthitectures, including semantic seClienth, chunking strategies, vector indexing, grounding, and evaluation frameworks.
• Partner with business stakeholders to identify, prioritize, and deliver high-value AI use cases and business process automation opportunities.
• Ensure AI solutions comply with security, governance, and data privacy requirements, including protection of PII and confidential business data.
• Collaborate with Data Engineering and Analytics teams to integrate AI with Snowflake and other enterprise data platforms.
• Define and document evaluation frameworks, guardrails, monitoring, and governance processes for enterprise AI solutions.
• Create technical documentation, Clienthitecture diagrams, deployment standards, and best practices to support enterprise AI adoption and scalability.

• 8+ years delivering enterprise software, data, cloud, analytics, or automation solutions, including demonstrated experience deploying at least 2 enterprise AI/GenAI solutions into production and supporting business adoption at scale.
• Hands-on experience with Microsoft Foundry (Clienture AI Foundry) and/or Copilot Studio .
• Experience building AI assistants, copilots, or Retrieval-Augmented Generation (RAG) solutions.
• Experience with Clienture OpenAI Services , Clienture AI, or Microsoft AI technologies.
• Experience working with Microsoft Graph, Microsoft 365 connectors, SharePoint, enterprise seClienth, and secure retrieval of organizational content.
• Strong understanding of semantic seClienth, vector databases, prompt engineering, AI orchestration, and enterprise AI security.
• Strong understanding of Microsoft Entra ID, authentication, role-based access controls (RBAC), and enterprise security patterns.
• Experience taking AI solutions from proof-of-concept through production deployment and support.

Preferred Qualifications

• Experience with Clienture AI SeClienth, vector databases, and document-based AI solutions.
• Experience integrating Microsoft AI services with Snowflake, data warehouses, and enterprise analytics platforms.
• Knowledge of Python, Power Platform, Power Automate, Logic Apps, or REST APIs.
• Experience deploying AI solutions in regulated or enterprise environments.
• Experience implementing governance and security controls for enterprise AI.
• Experience with AI monitoring, evaluation frameworks, observability, and deployment automation.
• Experience with Clienture DevOps, CI/CD pipelines, and AI solution lifecycle management.
• Familiarity with Microsoft Fabric, Semantic Kernel, or other AI orchestration frameworks.

Nice to Have

• Snowflake AI experience
• Microsoft Power Platform
• Clienture DevOps
• Experience with agentic AI and autonomous workflows
• Experience supporting enterprise AI governance and adoption
• Experience building solutions leveraging Microsoft Graph and Microsoft 365 Copilot extensibility
• Experience with enterprise seClienth, knowledge management, and document intelligence solutions

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