Amazon's Central Reliability Maintenance Engineering (C-RME) team is seeking a Senior System Development Engineer to lead the development of next-generation graph-based AI systems. This role focuses on integrating services and insights to deliver world-class, AI-augmented maintenance practices. As part of the Decision Science and Technology team, you'll work with over 35,000 customers worldwide to leverage maintenance and equipment health data stored in the RME knowledge graph.
The position involves working closely with Senior Scientists and Knowledge Graph Engineers to architect, develop, and deploy state-of-the-art systems that process data from various knowledge sources in real-time. You'll be responsible for strategic planning, architecture design, and new systems development while supporting customers who use your deliverables.
The RME team maintains and optimizes technologies across Amazon's vast network of warehouses, from large robotics-enabled facilities to small, high-speed locations near customers. The team uses science and data to drive scalable maintenance practices globally, supporting Amazon's customer promise, cost reduction, and Climate Pledge commitments.
This role offers the opportunity to work with cutting-edge semantic technologies and knowledge graphs, shaping the future of data-driven decision-making at Amazon. You'll be part of a team that specializes in advanced analytics and artificial intelligence solutions, developing predictive models for spare parts, maintenance, energy consumption, and health status monitoring programs.
The position combines technical leadership with hands-on development, requiring expertise in graph technologies, system architecture, and software development. You'll work in a collaborative environment, interfacing with multiple teams and contributing to Amazon's continuous innovation in maintenance engineering and AI applications.