Software Engineer, AI Engineer (Applied​/Software), Full Stack Developer

About Us

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 the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.

We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions.

• Build and maintain AI-powered platforms, tools, and services that solve engineering productivity and customer challenges
• Implement solutions leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality
• Create APIs, integrations, and platform capabilities that enable AI features across CMS products
• Develop scalable services that integrate AI into commercial payment and money movement systems for B2B, B2C, P2P, and G2C use cases
• Collaborate with engineering teams to identify opportunities for AI integration and drive adoption
• Participate in experimentation with new AI technologies and contribute to technical standards
• Work on both internal engineering tools and customer-facing AI features

• Works with product owners to gather and refine requirements across CMS products, considering existing tools and solutions
• Develops and designs moderately advanced solutions that are robust, scalable, and integrate AI capabilities with Visa's technical ecosystem
• Provides domain expertise on AI/ML technologies and their application to engineering and customer problems
• Plays a significant role in the development and delivery of new features within products from end-to-end
• Contributes to technical decision-making for AI adoption and standards

• Energy and
  
  Experience:
  
  A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale
• Challenge the Status Quo:
  Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions
• AI
  
  Experience:
  
  Familiarity with agentic AI, LLMs, AI frameworks, or machine learning applications
• Language Expertise:
  Expertise in one or more general development languages (e.g., Java, C#, C++)
• Builder:
  Experience building and deploying modern services and web applications with quality and scalability
• Learner:
  Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc.
• Partnership:
  Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams
• We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn’t work with payments technology or web applications before joining Visa.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the…