Azure Copilot Developer Lead
FalconSmartIT
San Mateo, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Remote
San Mateo, United States of America
Tech stack
Microsoft Windows
API
Artificial Intelligence
Azure
Microsoft Online Services
Microsoft Outlook
Code Review
Continuous Integration
Enterprise Architecture Framework
Github
Identity and Access Management
Microsoft Dynamics
SQL Azure
SharePoint
Systems Integration
Enterprise Software Applications
Microsoft Power Automate
Office365
Large Language Models
Prompt Engineering
GraphQL
Operational Systems
Data Management
Api Management
Serverless Computing
Powerapps
Job description
- 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.
Requirements
Do you have experience in Systems integration?, * 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 DevOps 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 DevOps or GitHub for CI/CD
- Background supporting financial, IT, or operational systems
- Microsoft certifications (Power Platform, Azure, AI) a plus, 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., * 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.