Senior Applied AI Systems Engineer—Education Assessment

Pearson; Honolulu (HI); On-site; USD 140,000 - 160,000; Full time

Job summary

Pearson is seeking a Lead Specialist, Applied AI Systems Engineer to design, build, and continuously improve intelligent systems for K–12 assessment and learning. You will work at the intersection of Content Development, Learning Science, Technology, AI, and Psychometrics to turn domain knowledge into testable AI capabilities within our assessment authoring system.

The role spans predictive ML, statistical methods, retrieval, graph-based approaches, and deterministic software, prioritizing

Qualifications

• Advanced degree or equivalent experience in CS/AI/ML/Statistics.
• Experience designing and building end-to-end AI or ML systems, not just prompts.
• Strong proficiency in Python; TypeScript is a plus.
• Experience evaluating probabilistic systems against ground truth or expert judgment.
• Experience with knowledge graphs and knowledge-grounded AI.
• Collaborates closely with engineers and domain experts to translate expertise into requirements.

Responsibilities

• Design complete, modular AI systems spanning data inputs, retrieval, models, and evaluation.
• Build working systems and reference implementations; partner with software engineers.
• Design architectures that evolve with models and data.
• Develop agentic and knowledge-grounded AI using graph and retrieval methods.
• Incorporate evaluation throughout development with datasets and regression testing.
• Collaborate with psychometricians and content experts to align with frameworks.

Skills

Python

TypeScript

Knowledge graphs

Retrieval-augmented

LLM-based systems

Data modeling

Experimentation & evaluation

Education

Advanced degree in Computer Science / AI / ML / Statistics

Tools

Python

TypeScript

AWS

PostgreSQL

Graph databases

MLflow

Job description

Pearson is seeking a Lead Specialist, Applied AI Systems Engineer to design, build, and continuously improve intelligent systems for K–12 assessment and learning. You will work at the intersection of Content Development, Learning Science, Technology, AI, and Psychometrics to turn domain knowledge into testable AI capabilities within our assessment authoring system.

The role spans predictive ML, statistical methods, retrieval, graph-based approaches, and deterministic software, prioritizing