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Technological Innovation at Capital One

According to Senior Lead Engineer Alexander, working at Capital One is different from what people might expect. Rather than spend his days crunching numbers and analyzing market trends, Alexander stays busy “solving really cool puzzles with really smart people” — a role he considers a “tremendous privilege” to hold. He said his day-to-day work revolves around maintaining the tools and infrastructure tied to one of the company’s enterprise AI/ML platforms, which serves as a foundation for wider tech initiatives. “It lets our data scientists really hit the ground running and start delivering value at a much faster rate,” Alexander explained.

Employee Reviews

Alexander

“People don’t always associate banks with the most cutting-edge technology, but we’re the opposite of that."

Alexander, Senior Lead Engineer


For Alexander, it feels as if he and his peers get to work on a startup-style product without the firefighting culture that comes with a smaller company. This allows for a longer product development runway and more thoughtful approach to decision-making. Leaning on this stability and strategy, Alexander and his peers get to keep up with the industry’s latest technologies. “We’re continuously expanding,” he said. “Whenever there’s something new and exciting and cool that comes out, we look into how we and our end users can benefit from it.”


Ryan

“We take a lot of pride in developing a deep working relationship with our customers and understanding their problems."

Ryan, Senior Engineering Manager


Senior Engineering Manager Ryan said that the latest iteration of the company's platform could be seen as “a conglomerate of a lot of efforts” geared toward seeking solutions that work for everyone, including the company’s customers. Defined by versatility, the platform has become a cornerstone for Capital One’s largest tech undertakings, keeping the organization at the forefront of the industry’s latest advancements. “Taking an enterprise platform approach in this way has set us up to be prepared to build and deploy emerging AI capabilities, including in generative AI," Ryan noted. “It’s an extension of the foundation that we already built, so it works well in terms of its robustness and its ability to adapt to the company’s needs.”

Recently posted jobs

15 Hours AgoSaved
Hybrid
Toronto, ON, CAN
Fintech • Machine Learning • Payments • Software • Financial Services
Develop and deploy scalable, responsible AI systems, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Partner with engineering, research, product, and program teams to deliver AI-powered products. Apply advanced optimization techniques to improve performance, scalability, latency, throughput, hardware utilization, and cost, while shaping the long-term roadmap for foundational AI platforms.
15 Hours AgoSaved
Hybrid
Toronto, ON, CAN
Fintech • Machine Learning • Payments • Software • Financial Services
Design, develop, test, deploy, and support scalable AI systems and software components, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Partner with engineering, research, program management, and product teams to deliver AI-powered products. Develop optimization techniques to improve performance, scalability, latency, throughput, hardware utilization, and cost while contributing to the long-term technical roadmap for foundational AI systems.
Fintech • Machine Learning • Payments • Software • Financial Services
Leads data science for Capital One’s Business Cards and Payments Credit Infrastructure team. Responsibilities include partnering with data scientists, engineers, and product managers; conducting statistical analysis; building, validating, and implementing machine learning models; analyzing large-scale numeric and textual data; translating technical findings into business outcomes; and developing team talent.

At a glance

industry-standard tools

The company's tech stack includes industry-standard tools such as Kubeflow, Apache Spark, PyTorch and Argo.

an open source approach

The company's technologists embrace an open source approach to product and technology development, which allows them to leverage existing tools and build skills they can carry with them across the company and elsewhere.

strategic, not reactionary

Capital One has a well-defined technological vision and strategy that remains open to exploring new tools and technologies as the landscape evolves.