Gen AI Copilot Lead

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. Salary Range- $90,000-$100,000 a year #LI-SP3 #LI-VX1 </div