Agentic Developer @ Hogarth

AI & Machine Learning (2)
,

Hogarth is the Global Content Production Company. Part of WPP, Hogarth partners with one in every two of the world’s top 100 brands including Coca-Cola, Ford, Rolex, Nestlé, Mondelez and Dyson. With a breadth of experience across an extensive range of sectors, Hogarth offers the unrivaled ability to deliver relevant, engaging, and measurable content across all channels and media - both established and emerging. The number of channels at our fingertips; the need for speed; and the drive for mass personalisation, all mean that brands need different solutions. Our global team of over 7,500 craft and technology experts brings together creative, production and innovation to help clients navigate this exciting and ever-changing world of today’s content experience.

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. Working at WPP means being part of a global network of more than 100,000 talented people dedicated to doing extraordinary work for our clients. We operate in over 100 countries, with corporate headquarters in New York, London and Singapore. WPP is a world leader in marketing services, with deep AI, data and technology capabilities, global presence and unrivalled creative talent. Our clients include many of the biggest companies and advertisers in the world, including approximately 300 of the Fortune Global 500. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.

AI Engineers & Developers
Job Title: AI Engineer - Agentic Solutions

Job Summary:
We are seeking a skilled AI Engineer to design, develop, and deploy AI-powered agents and solutions that enhance business processes and solve complex problems. In this role, you will build intelligent systems capable of learning, adapting, and optimizing over time. You'll collaborate with cross-functional teams to create AI agents that deliver tangible business value while staying at the forefront of AI technology advancements.

Key Responsibilities:

Design and develop AI-powered agents for applications such as virtual assistants, customer service bots, and task automation systems using LLMs and other AI models
Build and train machine learning models utilizing tools like TensorFlow, PyTorch, and other AI frameworks
Implement natural language processing (NLP) techniques to enhance system understanding and responsiveness
Collaborate with cross-functional teams to align AI solutions with business objectives
Optimize AI systems for scalability, performance, and real-time applications
Develop and maintain AI pipelines for deploying models into production environments
Utilize cloud platforms such as Azure Machine Learning, Google Vertex AI, and AWS Bedrock for end-to-end model development and deployment
Establish processes for real-time model monitoring, including tracking performance and accuracy of models in production
Troubleshoot and improve AI applications for better performance and user experience
Stay updated with the latest advancements in AI technology and implement innovative solutions

Required Qualifications:

Bachelor's degree in Computer Science, Artificial Intelligence, or related field
3-5 years of experience in AI/ML development with focus on building practical AI applications
Strong understanding of machine learning algorithms, neural networks, and deep learning techniques
Proficiency in Python programming and AI/ML frameworks (TensorFlow, PyTorch)
Experience with large language models (LLMs) and prompt engineering techniques
Knowledge of vector databases for semantic retrieval of relevant context
Experience with cloud platforms (AWS, Azure, GCP)
Strong problem-solving and analytical skills
Excellent communication skills for collaborating with technical and non-technical stakeholders

Preferred Qualifications:

Experience with AI orchestration tools like LangChain, Flowise, or similar agent SDKs
Experience with agent architecture optimization techniques
Knowledge of reinforcement learning and its applications
Experience developing and deploying AI-powered APIs
Familiarity with AI-driven process optimization for business workflows
Experience with model retraining and optimization pipelines

Our Hogarth Values:

Hands on
No egos here. Just a shared drive to roll up our sleeves and make great things happen. Every project--big or small, gets our full energy because we believe in doing things right. Every single time. It's how we deliver real results without cutting corners.

Honesty
We are real and authentic – with each other and in our work. Honest, direct communication builds the trust we need to collaborate, grow, and make meaningful things together. It’s not always easy but it’s always worth it.

Heart & Soul
We bring heart to everything we make. Passion, pride and relentless drive push us beyond “good enough” ––because we care deeply about our craft, and we’re always chasing better. We love what we do, and it shows.

Happy Family
Creating a space where everyone feels valued--even when opinions differ, makes this a supportive and inclusive environment for our people. We embrace our differences, celebrate our wins together, and never lose our sense of humor.

Hungry
Curiosity keeps us hungry. We question, experiment, and always seek out what's next. We never settle, and we never stop learning.

Inclusion and Impact

WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Please contact [email protected] if you need the job advert or form in another format.

Data

We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment.

When you click the "Submit Application" button at the bottom of this page, this will send all the information you have added to Hogarth WW. Before you do this, we think it's a good idea to read through our Privacy st atement. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.

Agentic Developer

Hogarth

Data

Simplify's Take

What believers are saying

What critics are saying

What makes Hogarth unique

Benefits