• Translate product ideas, domain concepts, and company vision into intelligent systems that reason over food, ingredients, nutrition, and user preferences. • Design and implement AI-powered features end-to-end, including model selection, orchestration, inference pipelines, confidence handling, and integration with product workflows. • Guide teams through decisions on model tradeoffs, data quality, evaluation strategies, observability, explainability, and long-term system evolution. • Influence without authority — shaping engineering culture, mentoring senior engineers, and raising the organizational bar for how intelligence is built and trusted. • Lead solution design for high-complexity, AI-driven initiatives and deliver production-ready implementations when needed. • Define patterns and standards for safe, observable, and explainable AI usage across teams. • Diagnose and resolve issues across data inputs, model behavior, system integration, and user-facing outcomes. • Mentor senior engineers and elevate engineering culture around intelligent system design. • Partner closely with product, data, CTO, and platform teams to shape roadmap feasibility and long-term intelligence strategy.