AI Solutions Architect

About Cambay Solutions:

Cambay Solutions is a Microsoft Solutions Partner specializing in Azure, Dynamics 365, Microsoft 365, Power Platform, and Cloud Modernization. Recognized as one of the 50 Most Promising Microsoft Solutions Providers by CIO Review and certified as a Great Place to Work®, we help organizations transform their business through People, Process, and Technology.

Position Overview

Cambay Solutions — a Microsoft Solutions Partner and Great Place to Work®–certified team of 350+ Microsoft specialists — is scaling its AI practice across the Microsoft ecosystem. We help clients move from AI experimentation to production, delivering Copilot agents, generative-AI solutions, and intelligent automation across Microsoft 365, Copilot Studio, Azure AI, and the Power Platform, including regulated and government (GCC High) environments.

We are seeking a highly experienced and visionary AI Solutions 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.

Key Responsibilities

• 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.

Required Qualifications

• 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).

• Strong Power Platform architecture skills — Power Apps (canvas & model-driven), Power Automate, Dataverse, AI Builder.

• 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.

• Proficiency in at least one of C#, Python, or JavaScript/TypeScript.

• Strong grounding in security, identity (Entra ID), governance, and responsible AI.

• Excellent communication, leadership, and stakeholder-management skills across technical and executive audiences.

Required Certifications

• Microsoft Certified: Azure AI Engineer Associate

• Microsoft Certified: Azure Solutions Architect Expert

Preferred Qualifications

• 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).