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# Senior AI Solutions Architect - Remote, Azure & Copilot

- **Company:** CAMBAY SOLUTIONS LLC
- **Location:** Florence, KY, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Business Systems, Continuous Integration, DevOps, SQL Azure, Power BI, OpenAI, Microsoft Copilot, Salesforce.Com, Microsoft SharePoint, Management of Software Versions, Microsoft Power Automate, Office365, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Prompt Engineering, IT Architecture, Model Validation, Agentic-AI, Microsoft Fabric, Microsoft Copilot Studio, Enterprise Integration, Claude, Restful APIs, Api Management, Serverless Computing, Key Vault, Servicenow
- **Published:** November 10, 2026
- **Apply:** https://www.juju.com/job/28_25197_91285fb5a45bcad9483a5e22adf50644

## About the Role

We are seeking a highly experienced and visionary AI Principal Architect to own end-to-end solution architecture for client engagements - translating business problems into secure, scalable AI designs, guiding delivery teams through build, and serving as a trusted technical advisor across pre-sales, roadmap, and delivery. This is a remote-first role open to candidates based in the United States., * Minimum 15 years of experience in the technology industry, with at least 7 years in solution/AI architecture.

 * Proven experience architecting generative-AI / LLM solutions in the Microsoft Azure ecosystem.
 * Hands-on expertise with Microsoft Copilot Studio, Azure OpenAI, and Microsoft 365 Copilot extensibility (connectors, plugins, agents).
 * Solid Azure solution experience - Functions, Logic Apps, API Management, App Service, Key Vault, Azure SQL/Blob, managed identities, and REST API integration.
 * Working command of RAG, prompt engineering, agentic AI, and model-lifecycle concepts.
 * Strong grounding in security, identity (Entra ID), governance, and responsible AI.
 * Excellent communication, leadership, and stakeholder-management skills across technical and executive audiences., * Experience in regulated or government environments (GCC High), financial services, defense, or legal/IP.
 * Familiarity with Microsoft Fabric / Power BI, Microsoft Graph APIs, and enterprise integration (Salesforce, ServiceNow, ERP).

## Description

* Lead the design of end-to-end AI solutions using Microsoft Copilot Studio, Microsoft Foundry (Azure AI Foundry), and Azure OpenAI, from concept through production.
 * Architect retrieval-augmented generation (RAG) solutions grounded on Microsoft Graph (SharePoint, OneDrive, Dataverse), with secure retrieval, citation-based grounding, and access controls.
 * Design agentic AI and multi-agent orchestration patterns - autonomy levels, human-in-the-loop checkpoints, and model selection (e.g., Azure OpenAI vs. Anthropic Claude) based on task fit, cost, and compliance.
 * Define prompt engineering, orchestration logic, and conversational-design standards and reusable AI components.
 * Architect intelligent document-processing and automation pipelines (deterministic rule gates, exception handling, audit/versioning) across Power Platform and Azure.
 * Design AI governance and security frameworks - Agent 365 / Entra Agent ID, agent registries, DLP for AI, sensitivity labeling, retention, and Microsoft Purview posture management.
 * Lead technical discovery workshops; translate business goals into solution blueprints, ROI/business cases, and implementation roadmaps.
 * Support proposals and SOW scoping, level-of-effort estimation, and solution design across the practice's AI offerings (Discovery * Pilot * At-Scale).
 * Own solution architecture through implementation, hyper-care, and knowledge transfer; enforce ALM, CI/CD, and DevOps best practices across Power Platform and Azure.
 * Build enterprise integrations via Microsoft Graph connectors and line-of-business systems (Salesforce, ServiceNow, ERP), Azure Functions/Logic Apps, and on-prem data gateways.
 * Ensure all solutions are explainable, ethical, and compliant with responsible-AI and data-governance standards, including regulated / GCC High deployments.
 * Mentor developers and consultants; run design reviews, contribute reusable accelerators, and help mature the firm's AI delivery methodology.