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

Ideal Candidate

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.

Required Skills & Qualifications

• 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.