Senior AI Systems Engineer, Knowledge-Grounded & Evaluated

Pearson; Jackson (MS); On-site; USD 140,000 - 160,000; Full time

Job summary

Pearson seeks a Lead Specialist, Applied AI Systems Engineer to design and build intelligent systems for educational assessment. You will work across AI science, psychometrics, content development, and software engineering to deliver reliable AI capabilities within the assessment authoring system.

The role emphasizes evaluation, knowledge graphs, and agentic AI, with collaboration across teams to ensure high-quality, auditable outcomes for K–12 applications.

Qualifications

• Advanced degree in Computer Science, AI, Statistics, or related field.
• Experience designing end-to-end AI or ML systems.
• Strong Python and data modeling skills.
• Experience evaluating probabilistic systems against ground truth.
• Knowledge graphs and graph-based retrieval experience.

Responsibilities

• Design complete AI systems spanning knowledge, data inputs, retrieval, models, agents, and evaluation.
• Build working systems and reference implementations with software engineers.
• Design architectures that evolve with models and data.
• Develop agentic workflows with retrieval, state, and human review.
• Collaborate with psychometricians and content experts to define evaluation criteria.

Skills

Python

TypeScript

Knowledge graphs

ML evaluation

Retrieval systems

Education

Advanced degree in CS/AI/Stats

Job description

Pearson seeks a Lead Specialist, Applied AI Systems Engineer to design and build intelligent systems for educational assessment. You will work across AI science, psychometrics, content development, and software engineering to deliver reliable AI capabilities within the assessment authoring system.

The role emphasizes evaluation, knowledge graphs, and agentic AI, with collaboration across teams to ensure high-quality, auditable outcomes for K–12 applications.