Lead Specialist – AI Scientist

Role Overview

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

This is ahands-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 forAI model training, adaptation, and AI Agents within the AgentOps team.

• Design, build, train, fine-tune, and evaluate AI/ML models.

• DevelopAI Agents and intelligent automation solutions for HR and enterprise use cases.

• Supportdigital transformation initiatives through AI-driven solutions.

• Build scalable AI services and applications usingPython 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 theAgentOps 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 ahands-on AI Scientist / AI Engineer / Applied Scientist with 8–10 years of experience who can bothbuild 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 inHR 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 experiencetraining, fine-tuning, adapting, and evaluating AI/ML models.

• StrongPython programming experience.

• Experience withPython web frameworks such asFastAPI, Flask, or Django.

• Experience building and deployingAI-powered applications and services.

• Experience withGenerative AI, LLMs, and AI Agents.

• Experience designing or developingAI Agents / Agentic AI solutions.

• Experience applying AI toHR / Human Resources processes or other enterprise business functions.

• Strong understanding ofDigital Transformation and using AI to automate and improve business processes.

• Experience developingHR AI Agents or intelligent assistants for HR-related use cases is highly desirable.

• Strong technical leadership skills with the ability to establishtechnical 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.