Senior Applied AI Systems Engineer (Knowledge-Grounded)

Pearson; Saint Paul (MN); On-site; USD 140,000 - 160,000; Full time

Job summary

Pearson seeks a Lead Specialist, Applied AI Systems Engineer to design and build comprehensive AI systems for the next generation of K–12 assessment and learning.

You will work across Content Development, Learning Science, Technology, AI Science, and Psychometrics with software engineers and AI Data & Knowledge Architect to turn domain expertise into testable AI capabilities within our assessment authoring system.

Qualifications

• Advanced degree in Computer Science, Artificial Intelligence, ML, Statistics, or related field, or equivalent experience.
• Experience designing and building complete AI/ML systems end to end, not just models or prompts.
• Strong breadth across predictive ML, statistical learning, LLM-based and retrieval-grounded systems.
• Demonstrated experience evaluating probabilistic systems against ground truth or expert judgment.
• Experience with knowledge graphs and knowledge-grounded AI to contribute to architecture decisions.

Responsibilities

• Design complete, modular AI systems spanning knowledge, data inputs, retrieval, models, agents, tools, deterministic services, human review, evaluation and integration.
• Break complex problems into predictive ML, statistical learning, retrieval, and graph reasoning solutions.
• Build working systems and reference implementations with software engineers to integrate into the assessment authoring system.
• Design architectures that evolve with models, data, domain knowledge and evaluation evidence.
• Collaborate with AI Data & Knowledge Architect to co-design knowledge and graph architecture.

Skills

Predictive ML

Statistical learning

LLM-based systems

Agentic AI

Retrieval-grounded AI

System design

Education

Advanced degree or equivalent in CS/AI/ML/Statistics

Tools

Python

TypeScript

Job description

Pearson seeks a Lead Specialist, Applied AI Systems Engineer to design and build comprehensive AI systems for the next generation of K–12 assessment and learning.

You will work across Content Development, Learning Science, Technology, AI Science, and Psychometrics with software engineers and AI Data & Knowledge Architect to turn domain expertise into testable AI capabilities within our assessment authoring system.