Senior Applied AI Systems Engineer

Pearson

Columbia (SC)

On-site

USD 140,000 - 160,000

Full time

8 days ago

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Job summary

Pearson is seeking a Lead Specialist, Applied AI Systems Engineer to design and build end-to-end AI systems that support the next generation of K–12 assessment and learning. The role sits at the intersection of content development, learning science, technology, AI science, and psychometrics, collaborating with engineers and the AI Data & Knowledge Architect to deploy testable AI capabilities.

The ideal candidate has hands-on experience building rigorous AI systems evaluated against ground truth

Qualifications

  • Advanced degree or equivalent experience required.
  • Experience designing and building complete AI/machine-learning systems end to end.
  • Experience evaluating probabilistic systems against ground truth or expert judgment.

Responsibilities

  • Design complete, modular AI systems spanning knowledge, data inputs, retrieval, models, agents, tools, deterministic services, human review and evaluation.
  • Build and integrate working AI systems with the assessment authoring system.
  • Collaborate with engineers to evolve architectures as data and models change.
  • Design agentic workflows and knowledge-grounded retrieval using graph or hybrid approaches.
  • Ensure evaluation is integrated into development with benchmarks and datasets.
  • Monitor drift and performance across data slices and edge cases.

Skills

Python proficiency
TypeScript proficiency
AI systems end-to-end design
Evaluation of probabilistic systems
Knowledge graphs
Collaboration with engineers

Education

Advanced degree in CS/AI/ML/Statistics or related field

Tools

Python
TypeScript

Job description

Pearson is seeking a Lead Specialist, Applied AI Systems Engineer to design and build end-to-end AI systems that support the next generation of K–12 assessment and learning. The role sits at the intersection of content development, learning science, technology, AI science, and psychometrics, collaborating with engineers and the AI Data & Knowledge Architect to deploy testable AI capabilities.

The ideal candidate has hands-on experience building rigorous AI systems evaluated against ground truth

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Annual incentive program
Equal Opportunity Employer