Lead AI Scientist - Enterprise ML & Learning Platforms

Pearson; Helena (MT); On-site; USD 150,000 - 190,000; Full time

Job summary

Pearson is seeking a seasoned AI leader to design, develop, deploy, and operate production AI capabilities that personalize learning experiences. You will drive generative AI, LLM, and RAG solutions while building reusable platform components and scalable MLOps practices.

You will collaborate with Product, Engineering, Design, Learning Science, and Data Science to identify opportunities and deliver high-impact AI capabilities across Pearson products.

Qualifications

• 5+ years of experience building and deploying production AI/ML systems.
• Strong experience with applied machine learning, Generative AI, LLMs, RAG architectures, knowledge graphs, or agentic AI solutions.
• Hands-on experience building and deploying AI applications using foundation models and modern AI frameworks.
• Proficiency in Python and modern software engineering practices, including APIs, testing, CI/CD, version control, and production operations.
• Experience designing scalable AI platforms, services, and deployment architectures in AWS or similar cloud environments.

Responsibilities

• Lead design, development, deployment, and operation of production AI capabilities.
• Design and deliver Generative AI, LLM, RAG, and agentic AI solutions with measurable impact.
• Build reusable AI platform capabilities, services, APIs, and workflows.
• Own the end-to-end AI delivery lifecycle from experimentation to production.
• 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 identify opportunities and deliver AI capabilities.
• Evaluate emerging AI technologies and architectures while balancing quality, safety, 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 across the organization.
• Communicate technical strategy, architecture decisions, trade-offs, risks, and outcomes to stakeholders.

Skills

Experience with ML/AI systems

Python

APIs & CI/CD

Cloud platforms (AWS)

MLOps practices

Education

Bachelor's degree in Computer Science/Engineering/Data Science

Tools

Docker

Kubernetes

Terraform

Job description

Pearson is seeking a seasoned AI leader to design, develop, deploy, and operate production AI capabilities that personalize learning experiences. You will drive generative AI, LLM, and RAG solutions while building reusable platform components and scalable MLOps practices.

You will collaborate with Product, Engineering, Design, Learning Science, and Data Science to identify opportunities and deliver high-impact AI capabilities across Pearson products.