• Serve as the retail domain expert during the training and fine-tuning of AI models, ensuring contextual accuracy and industry relevance. • Develop knowledge bases, taxonomies, and ontologies that reflect retail industry standards and best practices. • Annotate, label, and validate datasets with domain-specific knowledge (product categories, inventory terms, pricing, promotions, etc.). • Collaborate with AI/ML engineers to design training data strategies, evaluation metrics, and prompt engineering techniques tailored to retail applications. • Provide expert feedback on model outputs, identifying errors, ambiguities, and opportunities to improve model reasoning and performance. • Partner with product and analytics teams to align AI capabilities with business objectives such as improving sales, forecasting demand, or enhancing customer engagement. • Stay current with emerging trends in retail technology and AI, bringing innovative ideas for practical implementation.