Lead AI Scientist: Personalization & Learner Experience

Pearson; Baton Rouge (LA); On-site; USD 150,000 - 190,000; Full time

Job summary

Pearson is seeking a senior AI leader to design, deploy, and operate production AI capabilities across learner intelligence, personalization, and knowledge graphs. You will deliver Generative AI, LLMs, and RAG solutions that drive measurable product impact, while building reusable platform components and scalable MLOps practices.

Collaborating with cross-functional teams, you will guide AI strategy, governance, and responsible AI practices, mentoring engineers and data scientists to elevate

Qualifications

• 5+ years of experience building and deploying production AI/ML systems.
• Experience with Generative AI, LLMs, RAG architectures, or agentic AI solutions.
• Proficiency in Python and modern software practices (APIs, testing, CI/CD, version control, and production operations).
• Experience designing scalable AI platforms and deployment architectures in AWS or similar clouds.
• Experience with containerization, orchestration, infrastructure-as-code, and production-grade deployment practices.

Responsibilities

• Lead the design, development, deployment, and operation of production AI capabilities supporting learner intelligence, personalization, recommendations, knowledge graphs, and AI-powered learning experiences.
• Design and deliver Generative AI, LLM, retrieval-augmented generation (RAG), and agentic AI solutions that create measurable product and business impact.
• Build reusable AI platform capabilities, services, APIs, and workflows that accelerate AI adoption across Pearson products.
• Own the end-to-end AI delivery lifecycle, from experimentation and prototyping through deployment, monitoring, evaluation, and continuous improvement.
• Establish scalable MLOps and AIOps practices for model training, deployment, observability, governance, reliability, and operational excellence.
• Partner closely with Product, Engineering, Design, Learning Science, and Data Science teams to identify opportunities and deliver impactful AI-powered capabilities.
• Evaluate emerging AI technologies, foundation models, and architectural approaches while balancing quality, safety, scalability, latency, and cost.
• Establish best practices for responsible AI, model evaluation, prompt engineering, agent evaluation, and AI governance.
• Mentor engineers and data scientists and help elevate AI engineering capabilities across the organization.
• Communicate technical strategy, architecture decisions, trade-offs, risks, and outcomes to stakeholders across the business.

Skills

Collaboration skills

Communication skills

Python programming

Production operations

Problem solving

Education

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

Tools

AWS

Kubernetes

CI/CD

APIs

Job description

Pearson is seeking a senior AI leader to design, deploy, and operate production AI capabilities across learner intelligence, personalization, and knowledge graphs. You will deliver Generative AI, LLMs, and RAG solutions that drive measurable product impact, while building reusable platform components and scalable MLOps practices.

Collaborating with cross-functional teams, you will guide AI strategy, governance, and responsible AI practices, mentoring engineers and data scientists to elevate