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RTX · 17 hours ago

Lead Ontology & Knowledge Engineer (Remote)

United States

Full-time

Remote

Lead/Staff

$132K/yr - $252K/yr

8+ years exp

RTX is transforming the future of flight and is seeking a Lead Ontology & Knowledge Engineer to bridge the gap between enterprise data and AI-powered agents. The role involves designing and maintaining ontologies, implementing knowledge graphs, and establishing data governance policies to support the development of autonomous AI agents.

AerospaceManufacturingSecuritySensorTelecommunications

No H1B

U.S. Citizen Only

Responsibilities

Develop and maintain enterprise-grade ontologies (OWL/RDF) that model the complex domain of aerospace engineering, manufacturing, and supply chain

Define the semantic schema for AI Agents, ensuring they share a common vocabulary when communicating across different business units (e.g., ensuring a "Task" in Engineering means the same thing to an agent in Operations)

Lead the architecture and deployment of our Enterprise Knowledge Graph

Build data pipelines (Python) to ingest data from legacy ERP systems, PLM software, and unstructured documents into the graph

Implement Entity Resolution and linking strategies to unify disparate data points across the organization

Collaborate with AI Engineers to design "Context Windows" for LLMs. You will determine what graph data needs to be injected into a prompt to maximize agent accuracy

Work on Causal Inference models: Structure data to help agents distinguish between correlation and causation (e.g., Did the maintenance delay cause the part failure, or did the part failure cause the delay?)

Establish semantic standards and data governance policies for the AI ecosystem

Evangelize the use of Knowledge Graphs within Pratt & Whitney, training other developers on graph-based thinking

Qualification

Ontology EngineeringKnowledge RepresentationData ModelingGraph Query LanguagesPythonSemantic Web StandardsAI IntegrationDomain KnowledgeCollaborationCommunication

Required

Bachelor's degree in Computer Science, Information Science, Mathematics, or related field with 10+ years of relevant experience; OR a Master's degree with 8+ years of relevant experience; OR a PhD in Computer Science, Information Science, Mathematics, or related field with 5+ years of relevant experience

Experience: 5+ years in Ontology Engineering, Knowledge Representation, or Data Modeling

Proficiency in Graph Query Languages (SPARQL, Cypher, Gremlin)

Strong coding skills in Python (essential for our AI stack)

Experience with semantic web standards (RDF, OWL, SKOS, SHACL)

Experience working with LLMs, Vector Databases, and RAG architectures

Experience in manufacturing, aerospace, or complex supply chain environments is a strong plus

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract

Benefits

Medical

Dental

Vision

Life insurance

Short-term disability

Long-term disability

401(k) match

Flexible spending accounts

Flexible work schedules

Employee assistance program

Employee Scholar Program

Parental leave

Paid time off

Holidays

Company

RTX

Glassdoor3.8

RTX is comprised of three market-leading businesses – Collins Aerospace, Pratt & Whitney and Raytheon – working as one to answer the biggest questions and solve the hardest problems in aerospace and defense.

Founded in 1922

Arlington, Virginia, USA

10001+ employees