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.

• Define and drive the technical strategy for AI model training, adaptation, and AI Agents within the Agent Ops 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 Agent Ops organization and help shape Pearson's AI strategy.

• 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

The ideal candidate is a hands-on AI Scientist / AI Engineer / Applied Scientist with 8-10 years of experience who can both build AI systems and provide technical leadership
. The candidate should have demonstrated experience training or adapting models, building AI-powered applications, and applying AI/Agentic technologies to real-world enterprise problems. Experience in HR AI Agents, digital transformation, Python, and Python web frameworks is particularly valuable.

• 8-10 years of experience in AI/ML, Data Science, Machine Learning Engineering, or a closely related field.
• Strong hands-on experience training, fine-tuning, adapting, and evaluating AI/ML models
  .
• Strong Python programming experience.
• Experience with Python web frameworks such as FastAPI, Flask, or Django
  .
• Experience building and deploying AI-powered applications and services
  .
• Experience with Generative AI, LLMs, and AI Agents
  .
• Experience designing or developing AI Agents / Agentic AI solutions
  .
• Experience applying AI to HR / Human Resources processes or other enterprise business functions.
• Strong understanding of Digital Transformation and using AI to automate and improve business processes.
• Experience developing HR AI Agents or intelligent assistants for HR-related use cases is highly desirable.
• Strong technical leadership skills with the ability to establish technical direction, standards, and best practices
  .
• Experience evaluating emerging AI technologies and translating them into scalable enterprise solutions.
• Strong understanding of model evaluation, optimization, and performance improvement.
• Ability to work closely with engineering, product, HR, and technology stakeholders.