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

Requirements

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.