Building the Future on Purpose

As AI becomes foundational to how we build and serve customers, it is also reshaping how we work. Vice President of US Engineering Brenda Contreras and Vice President of US AI & Data Magdaline Frank share how they are embedding intelligence into the core of our US business, and what that means for the Zipster technologists and data leaders building the future with us.

There was a time when AI lived on the edge of organisations. It was a lab experiment. A proof of concept. A slide in a strategy deck.

That time has passed.

For both of us, the question is no longer whether AI matters. It is whether it is embedded deeply enough into how we build, decide, and serve. In a regulated fintech environment, intelligence cannot sit on the sidelines. It has to be engineered into the core.

We come at this from different disciplines. Brenda leads Engineering. Magdaline leads AI and Data. But we share the same belief: if AI is going to shape the future of this company, it must be built deliberately, governed carefully, and designed to earn trust.

From Experimentation to Execution

As Zip scales, complexity scales with it. Customer expectations increase. Regulatory scrutiny sharpens. Systems become more interconnected.

In that environment, experimentation alone is not leadership.

We have both seen what happens when AI is treated as a parallel initiative instead of an operating capability. It creates fragmentation. It creates risk. It creates noise without durable value.

Our focus has been to ensure that engineering and AI are not separate tracks. Intelligence must be part of the architecture, part of the workflows, and part of how decisions are made. That requires shared standards, shared accountability, and shared outcomes.

It also requires discipline.

Brenda: Architecture Is a Leadership Decision

In my experience, great engineering is both disciplined and inspired.

I believe deeply in an architecture-first approach. Not as theory, but as a commitment to building foundations that allow teams to move fast without breaking trust. Speed without structure creates fragility. Velocity without clarity creates rework.

When I think about the systems we are building, I ask a simple set of questions. Will this improve the experience for our customers? Will this simplify complexity for our teams? Will this make us stronger six months from now, not just today?

Those questions guide how we embed AI into our platforms.

AI cannot be bolted on. It has to be designed into the system from the beginning. That means observability is not optional. Governance is not an afterthought. Resilience is not negotiable.

I often tell our teams that ownership is not just about shipping code. It is about standing behind the outcomes of what you build. When we integrate intelligent systems into payments and decisioning flows, we are shaping real customer experiences. That responsibility is significant.

The pride I see across our engineering organization does not come from novelty. It comes from craftsmanship. From knowing that what we build will scale. From knowing that it will stand up to scrutiny.

That is what durable innovation looks like.

Magdaline: AI Must Earn Its Place

I have worked in environments where AI was treated as a headline. It generated excitement, but not always impact.

My view is straightforward. AI must drive measurable outcomes and it must earn trust every day.

That means we do not run disconnected pilots simply to say we are experimenting. We design systems that operate in real-world conditions. We ensure models are observable. We build governance frameworks that allow us to explain how decisions are made. We partner closely with engineering so intelligence is embedded into the product experience rather than layered on top.

Like Brenda, I also regularly ask my teams three questions. How does this improve the customer journey? How do we ensure transparency and oversight? How will we know this is working as intended?

Those questions shape everything from model development to deployment standards.

Trust in fintech is built in small moments. A payment that flows seamlessly. A decision that feels fair and explainable. An interaction that reduces friction instead of adding it. If AI complicates those moments, it does not belong in the system. If it strengthens them, we invest in it.

Making AI Part of How We Work

What we are building goes beyond platforms and models. We are shaping how teams think.

We see AI-first thinking emerge in workflow design. In automation priorities. In how product and engineering teams collaborate from the start. In how data informs roadmap decisions rather than validating them after the fact.

Importantly, this is not about replacing judgment. It is about augmenting it.

In a company operating in a regulated environment, responsible innovation is not a constraint. It is the standard. We are deliberate about how we test, how we monitor, and how we scale. We involve the right stakeholders early. We design with auditability in mind.

That discipline allows us to move with confidence.

Building for the Long Term

We both believe the future of AI in fintech will belong to companies that treat it as infrastructure, not spectacle.

The age of experimentation alone is over. Execution is what matters now. Execution with accountability. Execution with governance. Execution with a clear line of sight to customer value.

For us, leadership in this space is not about announcing ambition. It is about building systems that deserve trust. AI is becoming part of our operating rhythm because we have chosen to embed it intentionally. That work is ongoing. It requires constant refinement, healthy debate, and shared ownership across teams.

But when intelligence is built into strong foundations, it compounds. And that is how you build for the future.

Help us engineer what’s next

At Zip, AI isn’t about hype, or headlines. It’s about curious, accountable people building real solutions the right way.

We’re creating a workplace where intelligent systems are engineered with care, and where the Zipsters responsible for them are trusted to take ownership, challenge each other, and keep raising the bar.

We’re always on the lookout for engineers and AI leaders who care about building with purpose and thrive in an environment that values ownership and healthy debate. If that sounds like you, explore our current US opportunities and see where you can help change the game.