Lead AI Scientist, Production & Personalization

Pearson; Cheyenne (WY); On-site; USD 150,000 - 190,000; Full time

Job summary

Pearson seeks a Senior AI/ML Engineer to design, build, and operate production AI capabilities powering learner personalization, recommendations, and knowledge graphs. You will develop Generative AI, LLM, and RAG solutions and create reusable platform components to accelerate AI adoption across Pearson products.

Collaborating with product, engineering, learning science, and data science teams, you will implement scalable architectures in cloud environments, establish robust MLOps/AIOps, and

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, AI/ML, or equivalent practical experience.
• Strong collaboration and communication with product, engineering, and business stakeholders.
• 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.
• Hands-on experience building and deploying AI applications using foundation models and modern AI frameworks.
• Experience with containerization, orchestration, infrastructure-as-code, and production-grade deployment practices.
• Experience evaluating, monitoring, and optimizing AI systems for quality, reliability, latency, scalability, and cost.
• Experience with OpenAI, Anthropic, Bedrock, Azure OpenAI, LangGraph, LangChain, Semantic Kernel, vector databases, or similar platforms.
• Strong collaboration and communication skills with product, engineering, and business stakeholders.

Responsibilities

• Lead the design, development, deployment, and operation of production AI capabilities across learner intelligence, personalization, recommendations, and knowledge graphs.
• 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 and continuous improvement.
• Establish scalable MLOps and AIOps practices for training, deployment, observability, governance, reliability, and cost.
• Mentor engineers and data scientists to elevate AI engineering capabilities.

Skills

Python

APIs & CI/CD

Collaboration

Stakeholder management

Cloud architectures

AI platforms

Education

Bachelor's degree in Computer Science/Engineering/Data Science/AI&ML

Tools

Docker

Kubernetes

Terraform/IaC

Job description

Pearson seeks a Senior AI/ML Engineer to design, build, and operate production AI capabilities powering learner personalization, recommendations, and knowledge graphs. You will develop Generative AI, LLM, and RAG solutions and create reusable platform components to accelerate AI adoption across Pearson products.

Collaborating with product, engineering, learning science, and data science teams, you will implement scalable architectures in cloud environments, establish robust MLOps/AIOps, and