Senior AI Systems Engineer, Education & Assessment

Pearson; Atlanta (GA); Vor Ort; USD 140.000 - 160.000; Vollzeit

Zusammenfassung

Pearson seeks a Lead Specialist, Applied AI Systems Engineer to design and build end-to-end AI systems for K–12 assessment and learning. You'll collaborate across Content Development, Learning Science, Technology, AI Science, and Psychometrics to turn domain expertise into testable AI capabilities within our assessment authoring system.

The role emphasizes modular architectures, evaluation-driven development, and responsible AI, with strong interaction with software engineers and the AI Data &

Qualifikationen

• Advanced degree in CS/AI or related field.
• Experience designing and building end-to-end AI/ML systems.
• Strong breadth across predictive ML, statistical learning, and retrieval-grounded systems.
• Demonstrated experience evaluating probabilistic systems against ground truth or expert judgment.
• Experience with knowledge graphs and contributing to architecture decisions.

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 combination of predictive ML, statistical methods, generative models, retrieval, graph reasoning, deterministic software, and human decision points.
• Build working systems and reference implementations, and partner with software engineers to bring them into the assessment authoring system.
• Design architectures that can evolve as models, data, domain knowledge, and evaluation evidence change.

Kenntnisse

Python

TypeScript

Knowledge graphs

Graph reasoning

Retrieval systems

ML system design

Ausbildung

MS/PhD in CS/AI

Tools

MLflow

Go

Jobbeschreibung

Pearson seeks a Lead Specialist, Applied AI Systems Engineer to design and build end-to-end AI systems for K–12 assessment and learning. You'll collaborate across Content Development, Learning Science, Technology, AI Science, and Psychometrics to turn domain expertise into testable AI capabilities within our assessment authoring system.

The role emphasizes modular architectures, evaluation-driven development, and responsible AI, with strong interaction with software engineers and the AI Data &