Senior Knowledge Graph Engineer & Semantic Architect, Central Reliability Maintenance Engineering

Amazon's Central Reliability Maintenance Engineering team (C-RME) is seeking a Senior Knowledge Graph Engineer & Semantic Architect to lead their next-generation information architecture initiatives. This role sits at the intersection of semantic technologies, AI, and enterprise architecture, working to revolutionize how Amazon handles data-driven decision-making across its vast operations network.

The position offers a unique opportunity to work with cutting-edge technologies, including knowledge graphs, Large Language Models (LLMs), and AI text extraction systems. You'll be part of the Decision Science & Technology (DST) team within RME, which uses machine learning to develop predictive models for various critical operations including spare parts management, maintenance scheduling, and energy consumption monitoring.

As a senior technical leader, you'll be responsible for architecting innovative solutions that integrate knowledge graphs with advanced AI technologies, driving the evolution of graph-based architectures for 2025-2027 initiatives and beyond. You'll work closely with business stakeholders to translate complex requirements into scalable graph-based solutions, ensuring the decision-making needs of customers are met effectively.

The role involves leading the development of sophisticated ontologies and knowledge models, implementing scalable knowledge pipelines, and establishing best practices for knowledge engineering processes. You'll be instrumental in elevating the maturity of RME's data and information capabilities while ensuring consistent knowledge representation across the organization.

Working at Amazon means joining a team that maintains and optimizes technologies ranging from large, modern, purpose-built warehouses utilizing robotics to high-speed facilities placed close to customers. The company's commitment to innovation, customer-centricity, and the Climate Pledge makes this an exciting opportunity for someone passionate about pushing the boundaries of semantic technologies and knowledge graphs.

This position requires a blend of technical expertise, leadership skills, and the ability to communicate complex concepts to diverse audiences. You'll have the chance to mentor colleagues, establish best practices, and shape the future of how Amazon leverages knowledge graphs and semantic technologies for operational excellence.