Lead Specialist – AI Scientist

Role Overview

The AI Scientist will help define the technical direction for AI model training, adaptation, and AI Agent development , with a strong focus on transforming HR processes through intelligent AI solutions.

This is a hands-on Scientist and Builder role. The ideal candidate has experience training and adapting models—not simply consuming or calling existing AI models and APIs.

Key Responsibilities

• Define and drive the technical strategy for AI model training, adaptation, and AI Agents within the AgentOps team.
• Design, build, train, fine-tune, and evaluate AI/ML models.
• Develop AI Agents and intelligent automation solutions for HR and enterprise use cases.
• Support digital transformation initiatives through AI-driven solutions.
• Build scalable AI services and applications using Python and modern web frameworks .
• Establish technical standards, architecture patterns, and best practices for AI development.
• Evaluate new AI/ML technologies, models, frameworks, and agentic approaches.
• Collaborate with HR, product, engineering, and technology teams to identify opportunities for AI transformation.
• Translate AI research and emerging technologies into practical, production-ready solutions.
• Provide technical leadership and mentorship across AI/ML initiatives.
• Drive innovation within the AgentOps organization and help shape Pearson's AI strategy.

Preferred Technical Background

AI/ML

Machine Learning • Generative AI • LLMs • AI Agents • Model Training • Fine-Tuning • Model Adaptation • Model Evaluation

Programming & Development

Python • FastAPI • Flask • Django • REST APIs • AI/ML Application Development

AI Transformation

Digital Transformation • Enterprise AI • HR AI • HR Automation • Intelligent Agents • Agentic AI

Leadership

Technical Strategy • Architecture • Standards & Best Practices • Technical Leadership • Cross-functional Collaboratio