Knowledge Graph Engineer

Job Description Sr. Consultant Machine Learning & Knowledge Graph Engineer Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industr

We are: The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients' transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions. Stronger together! The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients' business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills.

Semantic Data Modeler with AI and Ontology Expertise | Dallas, TX or Remote, USA | Fulltime (Permanent). Role Summary: We are seeking an experienced Semantic Data Modeler with strong AI, ontology, and knowledge graph expertise to design and govern enterprise semantic models that make data consistent, interoperable, and AI-ready. This role will bridge traditional data modeling, semantic-layer design, ontology engineering, and GenAI-enabled analytics by translating complex business concepts into

Graph AI Platform Engineer Location: Dallas, TX(Onsite) 12+ Monthssearch for "Neo4j," "TigerGraph," "knowledge graph," "GNN" treat as a distinct niche search, not a GenAI keyword searchDeep graph database expertise: Neo4j and/or TigerGraph in production, GSQL or equivalent query languagesGraph ML background: GNNs, DGL or PyTorch Geometric, graph embeddings/representation learningOntology/semantic modeling experience (RDF, OWL) this is closer to a knowledge engineering skillset than typical app