Gen AI Copilot Lead
Job in
Camden, Camden County, New Jersey, 08100, USA
Listed on 2026-09-25
Listing for:
ClifyX
Full Time
position Listed on 2026-09-25
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), AI Business & Operations, IT Consultant
Job Description & How to Apply Below
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.
Power Platform
Microsoft Graph API
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Vector Databases
LLM Evaluation & Optimization
REST APIs and Integration Patterns
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.
- Design enterprise-grade Copilot and Generative AI solutions.
- Microsoft Fabric
- Power Platform
- Semantic Kernel and AI orchestration frameworks
- Establish governance, security, compliance, and responsible AI practices.
- Lead end-to-end AI solution delivery engagements.
- Develop custom copilots, AI assistants, and agent-based solutions.
- Integrate AI solutions with enterprise systems including:
- Share Point
- Teams
- Dynamics 365
- SAP
- Service Now
- Custom applications
- Define and implement prompt engineering standards and retrieval strategies.
- 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.
- 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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