AI Agent Designer

AI Agent Designer

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Worldpay (UK) Limited

At a Glance

  • Tasks: Design AI workflows and create transformative agent experiences for global payments.
  • Company: Join a leading global payments company with a focus on innovation.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
  • Other info: Collaborative team culture with unmatched energy and learning opportunities.
  • Why this job: Shape the future of AI in commerce and make a real impact.
  • Qualifications: 5+ years in business analysis or related fields, with strong AI knowledge.

The predicted salary is between 63000 - 77000 £ per year.

Ready to take your career global?

Make your mark at one of the biggest names in payments.

We’re looking for an AI Agent Designer to join our ever-evolving AI Strategy team and help shape the future of global commerce.

  • What you’ll own
  • Design and orchestrate AI-powered workflows and autonomous agent experiences that transform how work gets done across Global Payments.
  • Partner with business leaders to identify high-value opportunities, translate business challenges into agentic solutions, and define future-state ways of working.
  • Create agent blueprints, workflow designs, requirements, and success metrics that enable engineering teams to build scalable AI solutions.
  • Lead AI discovery workshops, map complex cross-functional processes, and uncover opportunities for automation, augmentation, and productivity gains.
  • Evaluate emerging AI technologies, tools, and agent frameworks, helping shape the company's vision for the next generation of AI-enabled work.
  • What you’ll bring
  • 5 years+ of experience in business analysis, product management, consulting, process design, solution design, or a related role.
  • Demonstrated ability to analyse complex business processes and translate them into structured requirements, workflows, or technology solutions.
  • Strong facilitation and stakeholder management skills, with experience working directly with senior business and technology leaders.
  • Experience with AI, automation, workflow platforms, or data-driven technologies.
  • Excellent communication, storytelling, and problem-solving skills, with the ability to simplify complex concepts and influence decision-making.
  • It’s a bonus if you have Experience in payments, fintech, financial services, or other highly regulated industries.
  • Knowledge of Large Language Models (LLMs), prompt engineering, knowledge management, RAG architectures, or AI product development.

Act like an owner

We take accountability — working at pace to own our outcomes.

We empower each other to make decisions.

We’re innovative — always finding better ways to deliver impact.

Win as one team: We value personal connections — moving forward together with clarity.

We build inclusive and global teams — embracing different perspectives and ideas.

It’s always ‘we,’ never ‘me.’ We’re determined to succeed together.

Why this role is different

This is an opportunity to help define how AI agents reshape work across a global enterprise.

You'll work at the intersection of business strategy, emerging technology, and human-centred design, partnering with leaders across Product, Engineering, Operations, Finance, Sales, and Corporate Functions to create the next generation of AI-powered experiences.

About the team

Our inclusive and global teams win together every day.

We’re proud to have the best minds in the industry, who you can learn from as you grow your career.

The people, the energy, the connections – it’s unmatched.

Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.

What makes a Globalpayer?

Globalpayers think like a client, act like an owner and win as one team.

We’re curious and innovative – always finding better ways to deliver impact.

We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do.

Does this sound like you? Then you sound like a Globalpayer.

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AI Agent Designer employer: Worldpay (UK) Limited

Worldpay (UK) Limited is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the payments industry. Employees benefit from competitive salaries, comprehensive benefits, and ample opportunities for professional growth, all while working alongside senior leadership to tackle significant strategic challenges across the EMEA region.

Worldpay (UK) Limited

Contact Details:

Worldpay (UK) Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Agent Designer

Get Involved in Data Science Meetups

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Show Off Your Projects

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Worldpay (UK) Limited.

Apply Directly through Our Website

When you find a suitable opening like AI Agent Designer at Worldpay (UK) Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace AI Agent Designer

Business Analysis
Product Management
Process Design
Solution Design
AI Technologies
Automation
Workflow Platforms

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Worldpay (UK) Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Worldpay (UK) Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Worldpay (UK) Limited

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Worldpay (UK) Limited!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.