Amazon Customer Service is transforming associate development through AI, creating a greenfield opportunity to build next-generation learning and coaching systems. This role focuses on reinventing associate development in an AI-native world, exploring how associates learn, receive personalized coaching, and continuously improve.

Imagine systems that learn from associate experiences, identify development needs, and deliver personalized AI-powered coaching. These systems create a closed loop, becoming smarter over time and enhancing associate success globally.

Design and build scalable services for personalized learning and associate development. Develop AI-powered coaching, including generative AI applications for contextual guidance. Build systems connecting associate performance signals with timely development interventions.

Create closed-loop systems to measure intervention outcomes and improve recommendations. Collaborate with Product and Science to translate emerging models into production systems. Make foundational architectural decisions for a greenfield product space, defining APIs, data models, and integration patterns. Build mechanisms for experimentation, measurement, and observability to ensure improved associate and customer outcomes.

A Software Development Engineer with 3+ years of professional software development experience, including 2+ years in design or architecture of new and existing systems. Proficiency in at least one programming language is required.

Preferred qualifications include 3+ years in the full software development lifecycle, a Bachelor's degree in Computer Science or equivalent, and experience building large-scale distributed systems or customer-facing platforms. Experience with machine learning, generative AI, LLMs, recommendation systems, personalization, and taking ambiguous technical problems from concept to production is highly valued.