About this role
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