Senior AI Systems Engineer — Education Tech & Evaluation

Pearson; Springfield (IL); Vor Ort; USD 140.000 - 160.000; Vollzeit

Zusammenfassung

Pearson is seeking a Lead Specialist, Applied AI Systems Engineer to design, build, and improve intelligent systems for next-gen K–12 assessment. You will blend content development, learning science, AI, and psychometrics to turn domain expertise into robust AI capabilities within the Pearson assessment authoring system.

The role emphasizes evaluating systems against ground truth and expert judgment, with autonomy to prototype and evolve architectures as models and data change.

Qualifikationen

• Advanced degree in CS/AI/Statistics or equivalent.
• Experience designing and building complete AI systems end to end.
• Broad proficiency across predictive ML, statistical learning, and retrieval-grounded systems.
• Experience evaluating probabilistic systems against ground truth or expert judgment.
• Knowledge graphs and knowledge-grounded AI experience.

Aufgaben

• Design complete, modular AI systems spanning knowledge and data inputs, retrieval, models, agents, tools, deterministic services, human review, evaluation, and integration.
• Break complex problems into the right mix of ML, statistics, retrieval, and graph reasoning.
• Build working systems and reference implementations; collaborate with software engineers to integrate into the assessment authoring system.
• Design architectures that evolve with changing models, data, and evaluation evidence.
• Design agentic workflows using models, tools, retrieval, and human decision points.
• Develop knowledge-grounded AI capabilities using graph, semantic, vector retrieval as appropriate.
• Create evaluation benches and datasets with expert adjudication; monitor drift and failures.

Kenntnisse

Python

TypeScript

ML knowledge

Ausbildung

Advanced degree in CS/AI/Statistics

Tools

AWS

PostgreSQL

Graph data stores

Go

MLflow

Jobbeschreibung

Pearson is seeking a Lead Specialist, Applied AI Systems Engineer to design, build, and improve intelligent systems for next-gen K–12 assessment. You will blend content development, learning science, AI, and psychometrics to turn domain expertise into robust AI capabilities within the Pearson assessment authoring system.

The role emphasizes evaluating systems against ground truth and expert judgment, with autonomy to prototype and evolve architectures as models and data change.