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Visa is building GenAI-powered platforms and applications within its Technology Organization. You will join a high-performing engineering team focused on AI-driven solutions and enterprise-scale systems.
Responsibilities span creating intelligent applications with large language models, integrating generative AI into platforms, building scalable, secure data-driven services, and enabling automation and developer productivity across the Visa tech ecosystem.
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.
Visa's Technology Organization is a community of problem solvers and innovators, reshaping the future of commerce. We operate one of the world's most advanced payment processing networks, enabling secure, reliable, and scalable transactions across millions of merchants, financial institutions, and consumers globally.
Our teams build and operate complex distributed systems at massive scale, solving challenges across payment flows, real-time data processing, cybersecurity, and next-generation digital platforms.
Within this, Value Added Services (VAS) - Digital Marketing is a key growth area for Visa, focused on building differentiated, data-driven solutions that extend the value of the Visa network beyond payments.
You will join a high-performing engineering team building GenAI-powered platforms and applications that enable innovation across Visa's technology ecosystem.
While these capabilities rely on strong data foundations, the primary focus is on applying AI and generative AI to solve real-world business problems at scale, with enterprise-grade security and reliability.
Sr. Data Engineers are responsible for collaborating with stakeholders, including product teams, business partners, and cybersecurity, to identify and clarify requirements for data-driven features and products. They independently understand the data ecosystem, security, privacy, and retention requirements necessary to support business and product features. Sr. Data Engineers create and document technical designs for components, identify systems, architectures, tools, and storage needs, and present technical solutions to peers. They stay current with market trends and industry dynamics, applying this knowledge to drive innovation and ensure the safety and security of product components.
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.