Key Responsibilities: Collaborate with clients and internal teams to identify and define high-impact AI use cases (e.g., NLP for customer service, GenAI copilots, predictive analytics, intelligent automation). Translate business needs into functional requirements, process flows, user stories, and acceptance criteria. Partner with data science and engineering teams to embed business logic into model development and deployment. Support solution design, proof-of-concept development, and delivery sprints using Agile/Scrum methodologies. Prepare business cases and define KPIs to measure AI model effectiveness and business impact. Facilitate UAT sessions, capture feedback, and coordinate change requests or enhancements. Maintain clear and structured documentation throughout the project lifecycle using Jira, Confluence, or internal tools.