Gen AI Copilot Lead
Listed on 2026-08-06
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations, IT Consultant, M365, SharePoint & Power Platform
Gen AI Copilot Lead
Location:
Edison, NJ (Onsite)
Fulltime – Permanent
We are seeking an experienced Gen AI Copilot Lead / Consultant to drive the design, development, implementation, and adoption of AI-powered Copilot solutions across the enterprise. The ideal candidate will possess deep knowledge of Generative AI technologies, Microsoft Copilot ecosystem, Azure AI services, and business transformation strategies. This role requires a blend of technical expertise, consulting capabilities, stakeholder management, and solution architecture skills to deliver innovative AI-driven business outcomes.
Key Responsibilities
Strategic Consulting & Advisory
• Assess business processes and identify opportunities for Generative AI and Copilot adoption.
• Define AI transformation roadmaps aligned with organizational goals.
• Conduct workshops, discovery sessions, and value-assessment engagements with stakeholders.
• Develop business cases, ROI analysis, and adoption strategies for AI initiatives.
Solution Design & Architecture
• Design enterprise-grade Copilot and Generative AI solutions.
• Architect solutions leveraging:
o Microsoft 365 Copilot
o Copilot Studio
o Azure OpenAI Service
o Azure AI Foundry
o Microsoft Fabric
o Power Platform
o Semantic Kernel and AI orchestration frameworks
• Establish governance, security, compliance, and responsible AI practices.
Implementation & Delivery
• Lead end-to-end AI solution delivery engagements.
• Develop custom copilots, AI assistants, and agent-based solutions.
• Integrate AI solutions with enterprise systems including:
o Share Point
o Teams
o Dynamics 365
o SAP
o Service Now
o Salesforce
o Custom applications
• Define and implement prompt engineering standards and retrieval strategies.
AI Operations & Governance
• Establish AI governance frameworks and best practices.
• Monitor AI solution performance, accuracy, and user adoption.
• Ensure alignment with data privacy, security, and compliance requirements.
• Implement Responsible AI controls and risk mitigation measures.
Leadership & Stakeholder Management
• Act as a trusted advisor to business and technology leaders.
• Mentor developers, architects, and consultants on AI technologies.
• Collaborate with cross-functional teams and executive stakeholders.
• Drive AI innovation initiatives and capability development.
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