Head of AI Engineering

Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new chapter – one filled with bold ambitions and enormous opportunity.

Our trusted portfolio of brands – including Sensodyne®, Panadol®, Advil®, Voltaren®, Theraflu®, Otrivin®, and Centrum® – lead in resilient and growing categories. What sets us apart is our unique blend of deep human understanding and trusted science.

Now it’s time to fully realise the full potential of our business and our people. We do this through our Win as One strategy. It puts our purpose – to deliver better everyday health with humanity – at the heart of everything we do. It unites us, inspires us, and challenges us to be better every day, driven by our agile, performance-focused culture.

Head of AI Engineering

Hello. We’re Haleon. A new world-leading consumer health company. Shaped by all who join us. Together, we’re improving everyday health for billions of people. By growing and innovating our global portfolio of category-leading brands – including Sensodyne, Panadol, Advil, Voltaren, Theraflu, Otrivin, and Centrum – through a unique combination of deep human understanding and trusted science. What’s more, we’re achieving it in a company that we’re in control of. In an environment that we’re co creating. And a culture that’s uniquely ours. Care to join us. It isn’t a question. This is an exciting time to join us and help shape the future. It’s an opportunity to be part of something special.

About The Role

We are seeking a highly skilled and innovative Head of AI Engineering to design, develop, deploy, and optimize AI-powered solutions that drive business value and operational efficiency. The role focuses on building production-ready AI applications using Large Language Models (LLMs), Generative AI, agentic AI frameworks, and AI-assisted development tools such as OpenAI Codex, Claude Code, GitHub Copilot, and Microsoft Copilot.

Working closely with business stakeholders, software engineers, architects, data professionals, and product teams, the AI Engineer will deliver scalable AI solutions that enhance automation, decision-making, customer experience, and productivity while ensuring compliance with AI governance and security standards.

Role Responsibilities

AI Solution Development

Design, build, test, and deploy AI and Generative AI applications.
Develop intelligent agents, copilots, and AI-powered automation solutions.
Build Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
Design and implement multi-agent AI systems for complex business workflows.
Develop custom AI integrations using APIs, SDKs, and cloud-native AI services.
Optimize and fine-tune AI solutions for performance, accuracy, and user experience.

AI Engineering & Software Development

Develop production-ready software applications leveraging AI-assisted development tools.
Use OpenAI Codex, Claude Code, and Microsoft Copilot to accelerate development and improve code quality.
Build AI services using Python, JavaScript, .NET, or other modern programming languages.
Develop RESTful APIs and microservices supporting AI solutions.
Implement CI/CD pipelines and DevOps best practices for AI applications.
Ensure application scalability, reliability, security, and maintainability.

Data & Platform Integration

Connect AI solutions with enterprise data platforms, databases, APIs, and business applications.
Design and implement vector databases and semantic search capabilities.
Develop data pipelines supporting AI training and inference workloads.
Integrate AI solutions with Microsoft 365, Azure, AWS, or Google Cloud environments.
Ensure AI solutions comply with organisational governance, security, and compliance requirements.

AI Governance & Risk Management

Implement AI governance frameworks, guardrails, and responsible AI practices.
Monitor model performance, drift, hallucinations, and bias.
Ensure compliance with data privacy regulations and organisational policies.
Conduct AI solution testing, validation, and performance monitoring.

Stakeholder Collaboration

Work closely with business stakeholders to identify AI opportunities.
Translate business requirements into technical AI solutions.
Provide technical leadership and best practice guidance across AI initiatives.
Support knowledge sharing, mentoring, and capability development within teams.

Basic Skills

Education & Experience

Bachelor’s degree in computer science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
14+ years of total experience
5+ years of software engineering experience.
2+ years of hands-on AI/Generative AI engineering experience.
Experience building AI-powered applications using OpenAI, Claude, or similar LLM platforms.
Experience using OpenAI Codex, Claude Code, and Microsoft/GitHub Copilot within software development lifecycles.
Experience working in Agile delivery environments.

Technical Skills

Artificial Intelligence & Generative AI

Strong experience with Large Language Models (LLMs) including:
OpenAI GPT models
Anthropic Claude models
Microsoft Copilot technologies
Azure OpenAI Service
Experience designing and implementing:
RAG (Retrieval-Augmented Generation)
Agentic AI systems
Prompt engineering
Tool calling and function calling
AI orchestration frameworks
Multi-agent architectures
Knowledge of model evaluation, testing, and optimisation techniques.

AI Development Tools

Demonstrable expertise using:
OpenAI Codex
Claude Code
GitHub Copilot / Microsoft Copilot
Experience leveraging AI coding assistants for:
Software development acceleration
Code review
Unit test generation
Refactoring and optimisation
Documentation creation
Solution prototyping

Programming Languages

Expert-level Python development.
Strong proficiency in one or more of:
JavaScript / TypeScript
C#
Java
Go

AI Framew