Senior Engineering Team Lead - Generative AI Platform

Wise; Greater London; Hybrid; GBP 135,000 - 175,000; Full time

Benefits offered by this job

Wise Benefits

RSUs

Job summary

Wise London is seeking an experienced leader to head the Generative AI Platform team, building and maintaining a scalable platform enabling rapid experimentation and production deployment of Gen AI systems. You will provide tooling, guardrails, and guidance to ensure safety of customers and data while scaling across AI enablement and controls.

You will guide growth of this critical function, shape multiple teams, and influence Wise’s AI capabilities with a strong emphasis on reliability,

Qualifications

• Solid engineering background in Python with production experience.
• High coding standards - test coverage and test pyramid familiarity.
• Experience deploying microservices to cloud-based systems.
• Experience designing distributed and concurrent systems, with tradeoffs between stateful/stateless.
• Knowledge of LLMs and building LLM-based applications.
• Experience with agentic frameworks and designing agentic workflows.
• Experience collaborating with product teams to bring ideas into production.
• Staying current with AI industry trends and best practices.
• Prompt engineering best practices.
• Ability to take initiative while working collaboratively and communicating plans clearly.
• Mentoring junior engineers and seeking feedback to improve.
• Customer-centric decision making across projects.

Responsibilities

• Lead engineering teams through project delivery using both agile and traditional methodologies.
• Build consensus and communicate plans effectively across stakeholders.
• Self-starter, self-motivated, and collaborative in execution.
• Own problems from scratch and drive end-to-end solutions.
• Own vendor negotiations and explain costs to the business.
• Provide regular feedback and foster a culture of continuous improvement.

Skills

Python production

Test coverage

Distributed systems

LLMs

Agentic workflows

Prompt engineering

Communication

Security mindset

Tools

Docker

Kubernetes

Terraform

AWS

Spring Boot

Job description

Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.For everyone, everywhere.

More about our mission and what we offer.

Job Description

Enter: our Generative AI Platform team!

For our customers, using Wise is as simple as sending money from A to B. Yet behind our app and website is a complex engine of currencies, routes, products and features, generating terabytes of data each day.

The Data Products and Insights squad is at the core of systems that store, process, and leverage data, machine learning models, and generative AI capabilities. Ultimately, this provides real-time insights and innovative ML and AI driven solutions that serve as key drivers for business growth.

Your mission will be to lead the team building and maintaining a platform that enables everyone at Wise to rapidly experiment and bring to production Generative AI based systems, providing tooling, guidance and guardrails so that teams can ensure the safety of our customers and their data.

You will guide the sustainable growth of this critical function, leading other engineering leads and having the opportunity to shape multiple teams across AI enablement and controls.

Your input will directly affect how Wise builds and scales Generative AI capabilities across the company, enabling teams to move with speed and confidence while maintaining reliability, security and operational excellence.

About the role:

For our customers, using Wise is as simple as sending money from A to B. Yet behind our app and website is a complex engine of currencies, routes, products and features, generating terabytes of data each day. The Data Products and Insights squad is at the core of systems that store, process, and leverage data, machine learning models, and generative AI capabilities. Ultimately, this provides real-time insights and innovative ML and AI driven solutions that serve as key drivers for business growth. Your mission will be to lead the team building and maintaining a platform that enables everyone at Wise to rapidly experiment and bring to production Generative AI based systems, providing tooling, guidance and guardrails so that teams can ensure the safety of our customers and their data. You will guide the sustainable growth of this critical function, leading other engineering leads and having the opportunity to shape multiple teams across AI enablement and controls. Your input will directly affect how Wise builds and scales Generative AI capabilities across the company, enabling teams to move with speed and confidence while maintaining reliability, security and operational excellence.

How we work:

We operate with a belief in automation, programmatic implementation, and reusable design. We’re looking for people who can step back and think holistically about the ecosystem, but also follow through and help implement the design; drawing on the resources across the rest of the Platform Tribe. As we grow, it is imperative to protect our customers’ money and navigate complex regulatory requirements world-wide. You will have a focus on running and maintaining services and libraries, making sure we have the right observability and service management elements in place, with an eye for high-availability, assessing and reducing engineering load and devising more effective ways for the team to look after its cloud-based platform. We need to sustain this growth by continuously iterating on the services we run, with a focus on availability, security, and ease of use. We’re looking for an engineer with relevant experience who can understand and respond to complex requirements and deliver simple solutions to help our teams achieve our mission with speed and confidence.

What will you be working on?

• You are an experienced leader, confident in problem-solving and guiding engineering teams through the complexities of project delivery using both agile and traditional methodologies.
• Great communication skills and the ability to build consensus - you’re comfortable making a case for what you believe we should be doing.
• Experience being a self-starter, self-motivated and collaborative.
• The mindset to solve problems from scratch.
• Comfortable taking ownership of vendor negotiations and explaining costs to the business.
• Willingness to give and take regular feedback - regular feedback is part of our culture.

What do you need?

We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. We value potential and enthusiasm as much as existing expertise. So if you have some of those listed below and are eager to learn more we do want to hear from you!

• You have a solid engineering background in Python with years of experience putting solutions into production and maintaining them.
• You have high coding standards - understanding of test coverage best practices & the test pyramid concept, and you are well versed in writing effective, scalable and clean code.
• You have experience deploying microservices to cloud based systems.
• You have experience designing and implementing distributed and concurrent systems, knowing the tradeoffs between stateful/stateless and synchronous/asynchronous architectures.
• You have knowledge and experience with LLMs and building LLM based applications.
• Experience with agentic frameworks and designing agentic-based workflows.
• You have experience working with product teams helping to build out their ideas in production.
• You stay on top of the latest developments and trends in the AI industry.
• You know Prompt Engineering best practices.
• You have the ability to take initiative while working collaboratively - identify problems, empathise with stakeholders and collaborators, create plans and implement solutions.
• You are a great communicator with the ability to clearly relay your plans back to the team, mentor junior engineers and seek out feedback for yourself.
• The customer is at the heart of everything you do and this empathy drives the decisions you make.

Nice to Have:

• You have a solid engineering background in Typescript/Javascript, and have worked building performant UI’s and/or using TS/JS AI frameworks.
• Familiar with standard Java stack including Spring Boot.
• Passionate about technology and its relationship with product and user experience.
• Ability to articulate complex and technical concepts to non-technical audiences.
• You are a security and privacy advocate, understanding concepts such as principle of least privilege, and are able to apply basic security principles at infrastructure and application level.
• Experience with Terraform, GitHub Actions, Infrastructure as Code, AWS or other cloud ecosystems.
• Experience with Docker and Kubernetes and running containerized workloads.
• Knowledge of Semantic Search and RAG based workflows.
• Knowledge or experience with MCP servers.
• Knowledge/interest in payment platforms, foreign exchange & complex systems architecture.
• Be a customer of Wise.

Interested? Find out more:

• How we work – a practical guide

• DEI @ Wise

• Wise Tech Stack (2025 update)

• See what it's like to work at Wise London!

• Our Engineering career map

• Wise Engineering – https://medium.com/wise-engineering

What do we offer:

• Starting salary: £135,000 - £175,000 + RSUs

• Wise Benefits

• Come meet us on Thursday:https://luma.com/x4iw7rfr

#LI-AB3 #LI-Hybrid

Additional Information

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.