Federated Knowledge Graph Architect for AI & Ontology

Cognizant

New York (NY)

Hybrid

USD 180,000 - 240,000

Full time

8 days ago

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Job summary

Cognizant is seeking a Senior Ontology & AI Architect to design a federated enterprise knowledge graph that connects learner, assessment, skills, workforce, and content data domains. You will build an AI-ready semantic foundation powering next-generation products and LLM-driven experiences.

The role requires 10+ years in ontology engineering and semantic technologies, with hands-on expertise in RDF/OWL, graph databases, and enterprise-scale knowledge graphs.

Qualifications

  • 10+ years of experience in Ontology Engineering, Semantic Technologies, Knowledge Graphs, AI/ML, or Data Science.
  • Deep expertise in ontology design, semantic data modeling, taxonomies, RDF, OWL, SKOS, SPARQL, and graph-based architectures.
  • Hands-on experience building and managing enterprise-scale knowledge graphs and metadata ecosystems.
  • Strong background in Machine Learning, NLP, Generative AI, and automated knowledge extraction/classification.

Responsibilities

  • Design and define an enterprise-wide ontology framework spanning learner, assessment, skills, workforce, and educational content domains.
  • Architect and implement large-scale federated knowledge graph solutions integrating multiple existing knowledge graphs and data sources.
  • Develop AI/ML-driven approaches for automated ontology creation, entity classification, ontology alignment, relationship discovery, and semantic enrichment.
  • Build semantic models, reasoning frameworks, and inference mechanisms to uncover relationships across domains.
  • Collaborate with product, data science, engineering, and business stakeholders to establish a reusable AI-ready knowledge layer.
  • Lead the initial PoC focused on Learner Skills to Job Skills Mapping, leveraging assessment outcomes, competencies, skills ontologies, and career pathways.
  • Provide strategic guidance on enterprise knowledge graph architecture, governance, scalability, and future AI adoption.

Skills

Ontology Engineering
Semantic Technologies
Knowledge Graphs
AI/ML
Data Science
RDF
OWL
SPARQL

Tools

Neo4j
Stardog
GraphDB
Amazon Neptune

Job description

Cognizant is seeking a Senior Ontology & AI Architect to design a federated enterprise knowledge graph that connects learner, assessment, skills, workforce, and content data domains. You will build an AI-ready semantic foundation powering next-generation products and LLM-driven experiences.

The role requires 10+ years in ontology engineering and semantic technologies, with hands-on expertise in RDF/OWL, graph databases, and enterprise-scale knowledge graphs.

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