Work with front‑end and back‑end engineers to embed AI capabilities into web, app, store, and internal tools, focusing on usability and performance.
Partner with data engineers to access and prepare data from POS, ecommerce, CRM/loyalty, product catalogs, and supply‑chain systems; design data contracts and schemas that support AI applications.
Build and iterate on models using appropriate techniques (traditional ML, deep learning, embeddings, LLMs), balancing accuracy, robustness, and cost.
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Work closely with business, brand, PR, IR, and leadership stakeholders to translate ambiguous business needs into practical AI systems and technical roadmaps.
Optimize system performance, including token efficiency, latency, caching strategy, retrieval quality, data architecture, and model inference flow.
Evaluate and integrate AI coding tools, LLM frameworks, vector databases, and third-party APIs to improve development efficiency and product quality.
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Support and guide business users in the Citizen Developer program to promote AI and automation literacy and adoption.
Maintain and enhance existing AI and automation platforms, ensuring availability, scalability, and performance.
Work closely with relevant teams internally to ensure alignment and coordination across operations as part of the seamless implementation of AI & Automation projects
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