Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
TC
Tata Consultancy Services Limited
Gen AI Copilot Lead
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores
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.