Knowledge Engineer

Responsibilities

• As AI becomes pervasive, carefully designed context is key to its success. We are seeking a Knowledge Engineer to contextualize our organizational data by building the enterprise knowledge graph at the core of our intelligence infrastructure. Specifically, you will:
• Integrate structured and unstructured datasets into the enterprise knowledge graph.
• Design and expand the core ontologies underpinning the graph architecture.
• Enforce data quality and consistency across the graph using SHACL shapes and validation metrics.
• Evolve our entity master to capture the complexity of our environment without sacrificing precision.
• Drive accurate entity resolution using methodologies and dedicated tooling.
• Optimize queries and graph structures to ensure high performance at scale.
• Develop AI agents and LLM pipelines to automate knowledge extraction and engineering workflows.
• What's required
• 5+ years of experience in knowledge engineering, data engineering, or backend development.
• Deep understanding of W3C knowledge engineering standards (RDF, SPARQL, OWL, SHACL).
• Proven experience with Master Data Management (MDM) and complex entity resolution.
• Strong proficiency in database systems, indexing, and query optimization.
• Applied knowledge of ontology engineering methodologies.
• Commitment to the highest ethical standards.
• We take care of our people
• We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
• Fully-paid health care benefits
• Generous parental and family leave policies
• Mental and physical wellness programs
• Volunteer opportunities
• Non-profit matching gift program
• Support for employee-led affinity groups representing women, minorities and the LGBT+ community
• Tuition assistance
• A 401(k) savings program with an employer match and more
• About Point72

Benefits

Additional Information

A Career with Point72's Knowledge Graph Intelligence Team On the Knowledge Graph Intelligence team, you'll work alongside product managers, engineers, and data scientists to build the next generation of intelligent systems through graph technology. We're a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision-making and enhance how we build and operate our platforms and applications.

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