Senior 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 lead their next-generation information architecture initiatives. This role is crucial in shaping the future of data-driven decision-making at one of the world's most innovative companies.

The position involves working with the Central and Field RME teams, focusing on New Technologies Introduction (NTI) in Amazon buildings and supporting Building eXcellence Management (BXM) teams. You'll be at the forefront of integrating knowledge graphs with advanced AI technologies, including AI text extraction and Large Language Models (LLMs).

As part of the Decision Science & Technology (DST) team within RME, you'll contribute to maintaining and optimizing technologies across Amazon's vast network of warehouses, from large robotics-enabled facilities to small, high-speed warehouses. The team uses machine learning to develop predictive models for various aspects of operations, including spare parts, maintenance, energy consumption, and monitoring programs.

This role offers a unique opportunity to lead the evolution of knowledge graph and semantic data engineering capabilities, driving innovation in graph-based architectures for future initiatives. You'll work with cutting-edge technologies while contributing to Amazon's mission of being the most customer-centric company on earth.

The ideal candidate will bring deep expertise in semantic technologies, graph databases, and enterprise-grade ontologies, combined with strong communication skills and a passion for innovation. You'll have the chance to shape how Amazon uses knowledge graphs to drive efficiency and innovation across its global operations.

Working at Amazon means joining a company that believes every day is Day One, where you'll have the opportunity to make a significant impact on how one of the world's largest companies manages and utilizes its vast knowledge resources. The role offers the chance to work with advanced technologies while solving complex challenges that affect global operations.