Sr Software Dev Engineer, Stores Foundational AI - SFAI

Senior Software Development Engineer

Join us in building the systems that enable Amazon's AI models to learn from real-world customer behavior and continuously evolve at massive scale. We are seeking a Senior Software Development Engineer to architect and own large-scale training data systems and experimentation frameworks that power Amazon's next-generation shopping AI. This is a hybrid role that combines distributed systems engineering with strong data science rigor to transform customer interactions — including search refinement, clicks, add-to-cart, and purchase behavior — into measurable learning signals that improve the shopping experience for Amazon customers.

You will build scalable, production-grade systems that convert live traffic into structured datasets used in model training and post-training workflows. Beyond infrastructure, you will analyze model behavior, generate insights into model quality gaps, and refine training data recipes to ensure durable, high-impact improvements. Your work will directly shape how AI systems continuously evolve from real customer behavior.

This role sits at the intersection of ML infrastructure, data science, and production systems, with end-to-end ownership from data ingestion to training data recipe design.

Key job responsibilities:

• Architect scalable training data systems that enable AI models to continuously learn from live customer behavior
• Build high-throughput pipelines that transform production engagement signals into structured training datasets
• Analyze model behavior to generate insights into model quality and identify gaps in training data coverage
• Design and refine training data recipes, including sampling strategies, signal weighting, filtering, and dataset composition
• Apply statistical rigor and experimentation to validate training signal quality and model improvements
• Ensure strong data security, governance, and compliance standards across production data workflows
• Provide technical leadership across distributed systems and ML training infrastructure