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Ready to Take Your Career Global?
Make your mark at one of the biggest names in payments. We're looking for an AI Engineer to join our AI Innovation & Technology team. You'll work at the forefront of AI, exploring emerging technologies, rapidly prototyping new ideas, and transforming promising innovations into production-ready solutions that create measurable business impact.
This role is ideal for someone who enjoys combining deep technical expertise with experimentation and discovery. You'll continuously evaluate new AI capabilities, conduct research and proof of concepts, and help identify opportunities where AI can unlock new customer and business value. You'll work across Generative AI, Agentic AI, Machine Learning, and LLMs, helping deliver innovative capabilities that create real business value.
What You’ll Own
- Assess, Design, build, optimize and deploy ML/AI models, Foundational models for real-world applications
- Continuously research and evaluate emerging AI technologies, models, Prototype new AI capabilities, and run proof-of-concepts.
- Collaborate with business and technology teams to identify high-value use cases
- Drive a culture of innovation through experimentation, knowledge sharing, and continuous learning.
- Help define best practices, technical standards, and reusable patterns for AI development across the organization.
- Develop agentic AI workflows using orchestration frameworks such as LangChain, or similar
- Develop and maintain AI system blueprints, ensure integration with existing infrastructure, and optimize performance and scalability.
- Ensure compliance, observability, and scalability are embedded in design decisions. Drive best practices for AI model deployment, monitoring, and continual improvement.
- Ensure AI solutions comply with organizational security, ethical guidelines, and regulatory standards.
- Collaborate with engineering, product, and business teams to identify and deliver high-impact AI opportunities.
- Stay at the forefront of advancements in AI, foundation models, and autonomous agents.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You’ll Bring
- 5+ years of experience in AI, Machine Learning, Data Science, or related fields.
- Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, and Hugging Face.
- Experience taking AI proof-of-concepts from idea to production.
- Strong knowledge of deep learning, NLP, and LLM architectures and experience in fine-tuning LLMs or training domain-specific models, RAG, embeddings, and vector databases.
- Familiarity with agentic AI concepts and orchestration frameworks.
- Experience deploying AI solutions on cloud platforms such as Azure, AWS, or GCP.
- Strong problem-solving skills and a passion for innovation.
- Excellent communication and collaboration skills.
- A curious, hands-on mindset with a desire to experiment, learn, and build.
- Experience with multimodal AI, AI governance, or MLOps.


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Bonus Points
- Advanced degree in AI, Computer Science, Data Science, or related disciplines.
- Research, publications, patents, or open-source contributions in AI/ML.
- Knowledge of payments, fintech, or financial services.
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. Apply now to take your career global.
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