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 CandidateThe 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.
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