Lead AI Platform Scientist – Production ML & LLMs

Pearson; Madison (WI); On-site; USD 150,000 - 190,000; Full time

Job summary

Pearson is seeking a senior AI/ML leader to design, deploy, and operate production AI capabilities that power learner intelligence, personalization, recommendations, and knowledge graphs across Pearson products, delivering measurable business impact.

You will build scalable AI platform components, establish MLOps/AIOps practices, mentor engineers, and collaborate with product, design, and data science teams to deliver measurable outcomes across the organization.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, AI/ML, or equivalent practical experience.
• Master's degree or PhD in Computer Science, AI, Machine Learning, or related field (preferred).
• Experience with cloud-native AI/ML systems and MLOps practices.
• Proficiency in Python and modern software engineering practices (APIs, testing, CI/CD, version control).

Responsibilities

• Lead design, development, deployment, and operation of production AI capabilities across learner intelligence, personalization, recommendations, knowledge graphs, and AI-powered learning experiences.
• Design and deliver Generative AI, LLM, RAG, and agentic AI solutions with measurable product impact.
• Build reusable AI platform components, services, APIs, and workflows to accelerate AI adoption.
• Own end-to-end AI delivery lifecycle from experimentation to deployment, monitoring, evaluation, and continuous improvement.
• Establish scalable MLOps and AIOps practices for training, deployment, observability, governance, and reliability.
• Partner with Product, Engineering, Design, Learning Science, and Data Science teams to deliver impactful AI capabilities.
• Evaluate emerging AI technologies and architectures, balancing quality, safety, scalability, latency, and cost.
• Establish best practices for responsible AI, model evaluation, prompt engineering, and governance.
• Mentor engineers and data scientists to elevate AI engineering capabilities.
• Communicate strategy, architecture decisions, risks, and outcomes to stakeholders.

Skills

Python

MLOps

Generative AI

LLMs

RAG architectures

Knowledge graphs

AWS

APIs

CI/CD

Communication

Education

Bachelor's degree in CS/Engineering/Data Science or equivalent

Master's degree or PhD in CS/AI (preferred)

Tools

Docker

Kubernetes

LangGraph

Job description

Pearson is seeking a senior AI/ML leader to design, deploy, and operate production AI capabilities that power learner intelligence, personalization, recommendations, and knowledge graphs across Pearson products, delivering measurable business impact.

You will build scalable AI platform components, establish MLOps/AIOps practices, mentor engineers, and collaborate with product, design, and data science teams to deliver measurable outcomes across the organization.