Gen AI Copilot Lead
Acestack
Location: Edison, NJ (Onsite)
Fulltime Permanent
Job Description
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.
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.
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 JavaScript
REST APIs and Integration Patterns
Cloud Architecture (Azure preferred)
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 SharePoint
o Teams
o Dynamics 365
o SAP
o ServiceNow
o Salesforce
o Custom applications
Define and implement prompt engineering standards and retrieval strategies.
AI Operations & Gov ernance
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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