Gen AI Copilot Lead

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.