Senior Applied AI Systems Engineer - Knowledge-Grounded

Pearson; Lincoln (NE); On-site; USD 140,000 - 160,000; Full time

Job summary

Pearson seeks a Lead Specialist, Applied AI Systems Engineer to design, build, and improve intelligent systems powering next‑gen K–12 assessment. You’ll work across Content Development, Learning Science, Technology, AI Science, and Psychometrics to turn expertise into testable AI capabilities within the assessment authoring system.

The role spans predictive ML, retrieval, graph reasoning, and deterministic software, with emphasis on evaluating outputs against ground truth and expert judgment.

Qualifications

• Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or related field.
• Experience designing and building end-to-end AI/machine learning systems.
• Knowledge of knowledge graphs and graph-based architectures.

Responsibilities

• Design complete, modular AI systems spanning data inputs, retrieval, models, and evaluation.
• Collaborate with engineers to bring AI capabilities into the assessment system.
• Evaluate systems with ground truth, expert judgments, and data-driven metrics.
• Monitor model performance and drift, iterating to improve reliability.

Skills

Python proficiency

TypeScript

Knowledge graphs

Autonomy

Cross-functional collaboration

Education

Advanced degree in Computer Science/AI/ML/Statistics

Tools

AWS

PostgreSQL

Graph databases

MLflow

Job description

Pearson seeks a Lead Specialist, Applied AI Systems Engineer to design, build, and improve intelligent systems powering next‑gen K–12 assessment. You’ll work across Content Development, Learning Science, Technology, AI Science, and Psychometrics to turn expertise into testable AI capabilities within the assessment authoring system.

The role spans predictive ML, retrieval, graph reasoning, and deterministic software, with emphasis on evaluating outputs against ground truth and expert judgment.