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Azure Copilot Architect & Enterprise AI Lead

Job in San Mateo, San Mateo County, California, 94409, USA
Listing for: FalconSmartIT
Seasonal/Temporary position
Listed on 2026-07-18
Job specializations:
  • Software Development
    M365, SharePoint & Power Platform, Azure, AI Engineer (Applied/Software), Software Architect
Salary/Wage Range or Industry Benchmark: 130000 - 160000 USD Yearly USD 130000.00 160000.00 YEAR
Job Description & How to Apply Below

Job Title:

Azure Copilot Developer Lead

Location:

Fosters City, CA or Remote

Job Type: FTE

Job Description:

Tagline- Agentic AI | Microsoft Azure AI services | Copilot Studio Premium | Power Platform

  • 2-3 years of Hands-on experience with Microsoft 365 Copilot, Copilot Studio, Azure OpenAI Services, and Power Platform.
  • 7+ years of Strong expertise in Azure architecture, including Azure Functions, Logic Apps, API Management, and Identity Management.
  • 2-3 years of experience designing AI-powered enterprise solutions using LLMs, prompt orchestration, and conversational AI.
  • 7+ years of expereince in Strong understanding of security, compliance, and governance in Microsoft ecosystems.
  • 2-3 years of experience in integrating Copilot solutions with enterprise applications and data sources.
  • Familiarity with Microsoft Power Platform (Power Apps, Power Automate
  • Working knowledge of Azure Dev Ops for CI/CD and backlog tracking
  • Basic understanding of Microsoft Teams and integration scenarios
  • Experience with APIs (REST/Graph API) and system integrations
  • Exposure to data platforms like Azure SQL Database or Dataverse
  • Knowledge of security & compliance in Microsoft ecosystem

Preferred Skills:

  • Familiarity with
    AI governance, responsible AI,
    and prompt engineering best practices
  • Exposure to
    Azure Dev Ops or Git Hub for CI/CD
  • Background supporting
    financial, IT, or operational systems
  • Microsoft certifications (Power Platform, Azure, AI
    ) a plus

Overview

We are seeking an experienced Copilot Architect to design, architect, and implement Microsoft Copilot solutions across enterprise environments. The ideal candidate will have strong expertise in Microsoft 365, Azure, Power Platform, AI integrations, and enterprise architecture, with the ability to align Copilot capabilities to business goals and drive AI adoption securely and efficiently.

Key Responsibilities:

  • Architect and design Microsoft Copilot solutions for enterprise productivity, automation, and collaboration use cases.
  • Define the technical roadmap for integrating Microsoft 365 Copilot, Copilot Studio, Azure OpenAI, and Power Platform.
  • Collaborate with business stakeholders to identify opportunities where Copilot can improve workflows and business processes.
  • Lead the implementation of Copilot extensions, plugins, connectors, and custom AI copilots.
  • Ensure architecture complies with security, compliance, governance, and data privacy requirements.
  • Integrate Copilot solutions with Microsoft Teams, SharePoint, Outlook, Dynamics 365, and third-party systems.
  • Establish governance models, best practices, and reusable architecture patterns for Copilot adoption.
  • Provide technical leadership to development teams and guide solution implementation.
  • Evaluate emerging AI and Copilot capabilities and recommend adoption strategies.
  • Support change management, adoption planning, and enterprise rollout initiatives.
  • Communication

    Skills:
  • Communicate effectively with internal and customer stakeholders
  • Communication approach: verbal, emails and instant messages
  • Interpersonal

    Skills:
  • Strong interpersonal skills to build and maintain productive relationships with team members
  • Provide constructive feedback during code reviews and be open to receiving feedback on your own code.
  • Problem-Solving and Analytical Thinking:
  • Capability to troubleshoot and resolve issues efficiently.
  • Analytical mindset
  • Successful deployment of secure, scalable Copilot solutions that improve productivity.
  • Increased business adoption of AI-driven workflows and automation.
  • Strong governance and compliance adherence across Copilot implementations.
  • Delivery of reusable enterprise architecture frameworks for future AI initiatives.
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