Lead AI Knowledge Architect for Education Graphs

Pearson; Nashville (TN); Presencial; USD 140.000 - 160.000; Jornada completa

Descripción de la vacante

Pearson seeks a Lead Specialist, AI Data & Knowledge Architect to design and build the knowledge foundation for next-generation K–12 assessment systems. The role sits at the intersection of Content Development, Learning Science, Technology, AI, and Psychometrics, translating expertise into machine-readable representations.

You will lead the creation of a layered knowledge architecture, enable AI agents and workflows, and ensure provenance, lineage, and traceability across standards,

Formación

• Advanced degree in Computer Science, Artificial Intelligence, Information Science, Knowledge Engineering, or a related field, or equivalent experience.
• Demonstrated experience designing and building knowledge graphs in production or substantial applied settings.
• Hands-on experience with knowledge modeling and semantic schema design, using approaches such as ontologies, property-graph schemas, vocabularies, and taxonomies.
• Strong command of graph and semantic technologies (e.g., RDF, OWL, SHACL, SPARQL, property graphs) and their architectural tradeoffs.
• Strong data architecture skills, including data modeling, integration pipelines, identity, versioning, provenance, and lineage.
• Strong programming ability in Python or comparable languages, with a record of building working systems and APIs.
• Deep understanding of predictive and generative AI, including how retrieval-grounded and agentic systems use structured knowledge.
• Track record of building novel systems where no established solution existed, with sound judgment and high autonomy.
• Ability to translate expertise from other disciplines into computational representations and to communicate tradeoffs clearly.

Responsabilidades

• Design and build the knowledge graph and underlying knowledge model for our assessment and learning domains.
• Represent standards, competencies, skills, claims, evidence, task characteristics, misconceptions, content, and their relationships as computational structures.
• Design for extensibility across content areas, programs, assessment contexts, and future AI capabilities.
• Establish approaches for identity, versioning, provenance, and lifecycle status of knowledge objects.
• Clearly separate authoritative knowledge, expert judgments, derived information, and machine-generated hypotheses.
• Evaluate and select graph and semantic technologies based on extensibility and interoperability.
• Build pipelines, mappings, and synchronization processes that connect item banks, standards, metadata, and psychometric data.
• Develop schemas, APIs, data contracts, and services for knowledge access.
• Partner with software engineers to integrate the knowledge layer into our assessment authoring system.

Conocimientos

Knowledge graphs

Knowledge modeling

Semantic schema design

Graph technologies

Python programming

Educación

Advanced degree in Computer Science or related field

Equivalent experience

Herramientas

RDF

OWL

SHACL

SPARQL

Property graphs

Descripción del empleo

Pearson seeks a Lead Specialist, AI Data & Knowledge Architect to design and build the knowledge foundation for next-generation K–12 assessment systems. The role sits at the intersection of Content Development, Learning Science, Technology, AI, and Psychometrics, translating expertise into machine-readable representations.

You will lead the creation of a layered knowledge architecture, enable AI agents and workflows, and ensure provenance, lineage, and traceability across standards,