Senior AI Systems Architect — Education Tech

Pearson; Sacramento (CA); Vor Ort; USD 140.000 - 160.000; Vollzeit

Zusammenfassung

Pearson is seeking a Lead Specialist, Applied AI Systems Engineer to design, build, and continually improve intelligent systems for next‑gen K–12 assessment and learning. You will work across Content Development, Learning Science, Technology, AI Science, and Psychometrics, partnering with software engineers to deploy AI capabilities in our assessment authoring system.

The role spans predictive ML, statistical methods, retrieval, graph-based approaches, generative and agentic AI, and

Qualifikationen

• Advanced degree in Computer Science, AI, ML, Statistics or related field.
• Experience designing and building complete AI or ML systems end to end.
• Strong breadth across predictive ML, statistical learning, and retrieval-grounded systems.
• Experience evaluating probabilistic systems against ground truth or expert judgment.
• Experience with knowledge graphs and knowledge-grounded AI to contribute 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 problems into predictive ML, statistical, generative, retrieval, graph reasoning, and deterministic software components.
• Build working systems and reference implementations and partner with engineers to integrate into the assessment authoring system.
• Design architectures that can evolve as models, data, and evaluation evidence change.
• Collaborate with AI Science and AI Data & Knowledge Architect on shared architecture and methods.

Kenntnisse

Python

Autonomy

Collaboration

Ausbildung

Advanced degree in CS/AI/ML/Statistics

Tools

TypeScript

Go

AWS

PostgreSQL

Graph databases

MLflow

Jobbeschreibung

Pearson is seeking a Lead Specialist, Applied AI Systems Engineer to design, build, and continually improve intelligent systems for next‑gen K–12 assessment and learning. You will work across Content Development, Learning Science, Technology, AI Science, and Psychometrics, partnering with software engineers to deploy AI capabilities in our assessment authoring system.

The role spans predictive ML, statistical methods, retrieval, graph-based approaches, generative and agentic AI, and