Gen AI Copilot Engineer
Listed on 2026-08-06
-
Software Development
AI Engineer (Applied/Software), Azure, M365, SharePoint & Power Platform
Gen AI Copilot Engineer
Location:
Edison,
-Site Roles/Responsibilities:
Roles & Responsibilities Must Have Technical/Functional Skills
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.
This role requires a blend of technical expertise, consulting capabilities, stakeholder management, and solution architecture skills to deliver innovative AI-driven business outcomes.
The ideal candidate will possess deep knowledge of Generative AI technologies, Microsoft Copilot ecosystem, Azure AI services, and business transformation strategies.
- Microsoft 365 Copilot
- Copilot Studio
- Azure OpenAI Service
- Azure AI Foundry
- Azure Cognitive Services
- Power Platform
- Microsoft Graph API
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- LLM Evaluation & Optimization
- Python, C#, or Java Script
- REST APIs and Integration Patterns
- Cloud Architecture (Azure preferred)
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.
Strategic Consulting & AdvisoryAssess 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.
Implementation & DeliveryLead 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 & GovernanceEstablish 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.
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