AIML Ontology Engineer

Dallas, IA - USA

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Job Details

Division: Nucor Business Technology

Location: Dallas TX United States

Other Available Locations: N/A

Welcome to Nucor where our unique culture sets us apart. Joining Nucor means becoming part of North Americas largest steel and steel products manufacturer offering unmatched career opportunities and stability. We are known for our innovative sustainability practices and are the continents largest recycler. Our vibrant culture built on personal connections and teamwork empowers every team member with the freedom to innovate and contribute to our collective success. Experience a workplace where safety efficiency and meaningful personal connections define every day enriching both our teammates and the communities we serve.

Nucor supports its teammates with top-tier benefits like Medical Dental Vision and Disability Insurance 401K and Roth accounts Profit sharing Pay-for-performance bonuses Paid parental leave Tuition reimbursement Stock program Scholarships and more.

Basic Job Functions:

Nucor Business Technology (NBT) is the technology division of Nucor Corporation North Americas largest steel producer and a Fortune 100 company. NBT develops and delivers enterprise technology solutions that enable Nucors mills and business units to operate safely efficiently and competitively. The Ontology Engineer will be a key contributor to NBTs AI & Emerging Technology team responsible for designing semantic data models ontologies and knowledge graphs that serve as the connective tissue between raw operational data and AI-ready intelligence.

Safety is the most important part of all jobs within Nucor; therefore candidates must be able to demonstrate the ability to initiate lead and uphold safety policies practices procedures and housekeeping standards at all times.

Responsibilities include but not limited to:

Design build and maintain enterprise ontologies and knowledge graphs using standards such as OWL RDF and SPARQL.
Collaborate with domain experts data engineers and business stakeholders to capture and formalize business concepts relationships and rules.
Develop and manage taxonomies controlled vocabularies and semantic metadata schemas across Nucors operational and business domains.
Integrate ontological structures with enterprise data platforms AI/ML pipelines and analytics environments.
Partner with AI/ML Engineers and data scientists to ensure ontology structures support downstream model training feature engineering and inference pipelines.
Define and enforce data governance standards for entity definitions lineage tracking and metadata management across enterprise platforms.
Monitor ontology performance and usage patterns; proactively identify gaps and drive continuous improvement.
Support integration of ontology layers with enterprise data products dashboards and reporting tools.
Evaluate and implement ontology management tools and platforms ensuring scalability and interoperability.
Translate complex technical concepts into clear documentation for both technical and non-technical audiences.
Stay current with advancements in knowledge representation semantic web technologies and AI/ML techniques.

Minimum Qualifications:

3 years of experience in ontology engineering knowledge graph development or semantic data modeling.
Strong proficiency in OWL RDF RDFS SPARQL and related W3C semantic web standards.
Hands-on experience with ontology development tools such as Protégé TopBraid Composer or similar.
Demonstrated ability to collaborate with cross-functional teams to model complex business domains.
Experience with graph databases (e.g. Neo4j Amazon Neptune Azure Cosmos DB for Gremlin) and graph query languages.
Strong understanding of data governance metadata management and master data management (MDM) principles.
Experience collaborating in cross-functional Agile or DevOps environments.
Excellent analytical thinking with ability to translate ambiguous business requirements into formal semantic models.
Strong written and verbal communication skills with ability to present technical concepts to diverse audiences.
Bachelors degree in Computer Science Information Science Knowledge Engineering or a related field (or equivalent experience).

Preferred Qualifications:

Masters degree or Ph.D. in Knowledge Engineering Computational Linguistics Computer Science or related discipline.
Experience in industrial manufacturing or supply chain domains with complex operational data.
Familiarity with SHACL (Shapes Constraint Language) for ontology validation and data quality enforcement.
Knowledge of linked data principles and experience publishing or consuming linked datasets.
Exposure to ML/AI pipelines and practical experience enhancing them through semantic enrichment.
Experience with LLM-grounded knowledge graphs or retrieval-augmented generation (RAG) pipelines.
Familiarity with Nucors manufacturing metrics (uptime yield safety cost per ton) and their semantic representation.
Exposure to enterprise data catalogs (e.g. Microsoft Purview Collibra or Alation).
Contributions to open-source ontology projects or published work in semantic web conferences/journals.

Nucor is an Equal OpportunityEmployer and a drug-free workplace

Required Experience:

Job DetailsDivision: Nucor Business TechnologyLocation: Dallas TX United StatesOther Available Locations: N/AWelcome to Nucor where our unique culture sets us apart. Joining Nucor means becoming part of North Americas largest steel and steel products manufacturer offering unmatched career opportunit...