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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