Lead AI Knowledge Architect—Graph & Data Systems

Pearson; Columbus (OH); 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 Pearson’s next generation of intelligent K-12 assessment and learning systems. You will work at the intersection of content, learning science, technology, AI science, and psychometrics, translating expertise into computable representations.

This founding, hands-on role will shape a scalable knowledge graph, data contracts, and APIs to enable AI agents and analytic workflows while

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 ontologies, vocabularies, taxonomies.
• Strong command of graph and semantic technologies (e.g., RDF, OWL, SHACL, SPARQL) 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 retrieval-grounded and agentic systems.

Responsabilidades

• Design and build the knowledge graph and underlying knowledge model for assessment and learning domains.
• Represent standards, competencies, skills, claims, evidence, task characteristics, misconceptions, content, and their relationships as computational structures.
• Establish extensibility across content areas, programs, assessment contexts, and future AI capabilities.
• Manage identity, versioning, provenance, and lifecycle status of knowledge objects.
• 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 and mappings connecting item banks, standards, metadata, psychometric data, and sources into a knowledge layer.
• Develop schemas, APIs, data contracts, and services for access to knowledge architecture.
• Partner with software engineers to integrate the knowledge layer into the assessment system.
• Design retrieval and context architectures for AI systems using structured knowledge (graph/semantic/vector).
• Create task-specific knowledge projections and maintain traceability between AI outputs and knowledge sources.
• Collaborate with AI Systems Engineers to ensure reliable operations of grounded AI capabilities.
• Exercise autonomy to shape architecture where no blueprint exists; prototype quickly and test empirically.

Conocimientos

Knowledge graphs

RDF/OWL/SHACL

Data modeling

Provenance

Python

Predictive AI

Generative AI

Autonomy

Tradeoffs communication

Educación

Advanced degree in CS/AI/Info Sci/Knowledge Eng

Herramientas

RDF/OWL/SHACL tooling

Descripción del empleo

Pearson seeks a Lead Specialist, AI Data & Knowledge Architect to design and build the knowledge foundation for Pearson’s next generation of intelligent K-12 assessment and learning systems. You will work at the intersection of content, learning science, technology, AI science, and psychometrics, translating expertise into computable representations.

This founding, hands-on role will shape a scalable knowledge graph, data contracts, and APIs to enable AI agents and analytic workflows while