Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 6, 2026.
Job Summary
ob Description (JD) - Lead Copilot Engineer
Job Title
Lead Copilot Engineer (Microsoft Copilot & Generative AI)
Experience
8-12+ Years (including 3+ years in AI, Automation, or Modern Workplace solutions)
Location
Hybrid / Remote / Onsite
Key Responsibilities
Role Summary
We are looking for a highly experienced Lead Copilot Engineer to lead the design, implementation, and adoption of Microsoft Copilot solutions across the enterprise. The role requires strong expertise in Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI Services, and enterprise integrations. The candidate will drive AI transformation initiatives, mentor engineering teams, define best practices, and work closely with business stakeholders to deliver impactful AI-powered solutions
Skill Requirements
Key Responsibilities
Technical Leadership
- Lead the architecture, development, and deployment of Microsoft Copilot solutions.
- Define enterprise standards, governance, and best practices for Copilot implementations.
- Provide technical leadership and mentoring to Copilot engineers and developers.
- Conduct architecture reviews and design assessments.
Copilot & AI Development
- Design and implement solutions using Microsoft 365 Copilot and Copilot Studio.
- Build custom copilots, AI assistants, and conversational experiences.
- Develop and optimize prompts, workflows, and knowledge-grounded AI solutions.
- Implement Retrieval-Augmented Generation (RAG) architectures using enterprise data sources.
Integration & Automation
- Integrate Copilot solutions with enterprise applications such as SAP, ServiceNow, Salesforce, Workday, and other business systems.
- Develop custom plugins, connectors, APIs, and extensions.
- Utilize Power Platform to automate business processes and improve productivity.
- Leverage Microsoft Graph APIs and Azure services for advanced integrations.
Stakeholder Management
- Collaborate with business leaders to identify AI use cases and define roadmaps.
- Translate business requirements into scalable technical solutions.
- Present solution designs, business value, and implementation strategies to leadership teams.
- Drive user adoption and change management initiatives.
Governance & Security
- Ensure compliance with enterprise security, privacy, and Responsible AI standards.
- Implement governance controls for Copilot applications and data access.
Monitor solution performance, usage analytics, and optimization opportunities

