Lead AI Knowledge Architect

Pearson; Bismarck (ND); 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 its next generation of intelligent K–12 assessment and learning systems.

The role sits at the intersection of content development, learning science, technology, AI, and psychometrics, translating expertise into machine-readable knowledge and extensible data models that power predictive and generative AI methods.

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 the knowledge graph and the underlying knowledge model for assessment domains, selecting ontologies, schemas, vocabularies, and taxonomies.
• Represent standards, competencies, skills, claims, evidence, task characteristics, misconceptions, content, and their relationships as computationally usable structures.
• Design for extensibility across content areas, programs, assessment contexts, and future AI capabilities.
• Establish approaches for stable identity, versioning, provenance, lineage, 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, interoperability, reasoning needs, maintainability, and downstream AI use.
• Build the pipelines, mappings, and synchronization processes that connect item banks, standards, metadata, psychometric data, and other sources into a coherent knowledge layer.
• Develop the schemas, APIs, data contracts, and services through which applications, agents, and analytic workflows access the knowledge architecture.
• Partner with software engineers to integrate the knowledge layer into our assessment authoring system.

Conocimientos

Knowledge graphs

Semantic schema design

Graph technologies

Python

Architectural design

Educación

Advanced degree in CS/AI/Info Science

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 its next generation of intelligent K–12 assessment and learning systems.

The role sits at the intersection of content development, learning science, technology, AI, and psychometrics, translating expertise into machine-readable knowledge and extensible data models that power predictive and generative AI methods.