Knowledge Graph Engineer & Semantic Architect, Central Reliability Maintenance Engineering

Amazon's Central Reliability Maintenance Engineering (C-RME) team is seeking a Senior Knowledge Graph Engineer & Semantic Architect to spearhead their next-generation information architecture initiatives. This role sits at the intersection of semantic technologies, AI, and enterprise data architecture, focusing on building sophisticated knowledge graph solutions that power decision-making across Amazon's global operations.

The position offers an opportunity to work with cutting-edge technologies, combining knowledge graphs with advanced AI technologies including Large Language Models (LLMs) and AI text extraction. You'll be part of the Decision Science & Technology team within RME, which leverages machine learning for predictive modeling across various critical operational areas.

As a Senior Knowledge Graph Engineer, you'll architect and implement scalable knowledge pipelines, develop sophisticated ontologies, and establish best practices for knowledge engineering processes. You'll work closely with business stakeholders to translate complex requirements into practical graph-based solutions that drive value across the organization.

The role requires deep expertise in semantic technologies, graph databases, and data architecture, combined with the ability to communicate complex technical concepts effectively. You'll be working with a diverse team maintaining and optimizing technologies across Amazon's vast network of facilities, from robotics-enabled warehouses to high-speed fulfillment centers.

This position offers the chance to make a significant impact on Amazon's technical infrastructure while working with some of the most advanced semantic and AI technologies in the industry. You'll be contributing to initiatives that support Amazon's customer promise, cost reduction efforts, and Climate Pledge commitments through data-driven maintenance practices.

The ideal candidate will bring a strong background in knowledge graph engineering, semantic technologies, and enterprise architecture, along with the ability to drive innovation in graph-based architectures for future initiatives. This role presents an excellent opportunity for someone passionate about pushing the boundaries of semantic technologies while working on solutions that have real-world impact at global scale.