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. Job Description 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. About the Team: You will join a high-performing engineering team building GenAI-powered platforms and applications that enable innovation across Visa’s technology ecosystem. The team focuses on: Developing intelligent, AI-driven applications powered by large language models Integrating generative AI capabilities into enterprise platforms and workflows Building scalable systems that combine AI, data, and distributed architectures Enabling automation, developer productivity, and intelligent decision-making 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.
Job Summary
Senior Data Engineers collaborate closely with product teams, business partners, and cybersecurity teams to define and deliver AI- and data-driven products and capabilities. In this role, you will help design and build scalable platforms that enable the adoption of generative AI across the organization. You will play a key role in developing GenAI-powered applications and platforms, including integrating with leading large language models such as OpenAI and Anthropic, and enabling their safe, scalable, and efficient use in enterprise environments. You will independently understand the broader data and AI ecosystem, including security, privacy, and governance requirements, and apply this knowledge to design robust and responsible solutions. You will contribute to technical designs, evaluate architectures and tools, and present scalable solutions to peers. This role emphasizes building platforms and services that power AI and GenAI applications, while ensuring strong data foundations, system reliability, and enterprise-grade security. Staying current with industry trends in AI, data engineering, and distributed systems, you will help drive innovation and continuously improve how technology is applied to solve complex business problems. All roles require digital fluency, including hands-on experience or familiarity with Generative AI tools (e.g., Claude Code, Cline, Codex, and GitHub Copilot) to enhance developer productivity and enable intelligent engineering workflows. Key
Responsibilities
Collaborate with cross-functional stakeholders to define requirements for AI- and data-driven features and platforms Design and document scalable components that support AI/GenAI applications, APIs, and data workflows Develop high-quality, secure, and maintainable code following engineering best practices Build and enhance platform capabilities that integrate data, APIs, and AI models into production systems Develop and integrate applications with large language model providers such as OpenAI and Anthropic to deliver GenAI-powered solutions Design and implement prompt workflows, context handling, and orchestration patterns for GenAI use cases Contribute to code reviews, incorporate feedback, and take ownership of platform components or services Develop and maintain data pipelines, services, and orchestration workflows supporting AI use cases Implement validation, monitoring, and data quality checks to ensure system reliability and accuracy Apply security, privacy, and governance principles across data and AI systems Troubleshoot issues across distributed systems and improve system observability and resilience Build automation and tools to improve developer productivity, deployment efficiency, and platform operations Support platform maintenance, upgrades, and security remediation activities Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic
Qualifications
2+ years of relevant work experience with a Bachelor's degree, or 5+ years of relevant work experience Strong core programming skills in Java, Python, or similar languages
Experience
building and operating microservices-based architectures and APIs
Experience
working with real-time data streaming or event-driven systems
Experience
working with cross-functional teams to clarify requirements and define technical solutions
Experience
designing and documenting technical components for data platforms, services, or applications
Experience
writing production-grade code and applying coding standards, security practices, and testing methodologies
Experience
conducting unit testing and participating in integration or user acceptance testing
Experience
building automation tools and frameworks supporting data processing or application workflows
Experience
working with data extraction, transformation, and querying techniques across large datasets
Experience
ensuring system reliability through data quality validation, monitoring, and performance tuning
Experience
troubleshooting and resolving issues in distributed systems, data pipelines, or backend services
Experience
supporting production systems, including software upgrades, maintenance, and security remediation
Preferred Qualifications
3+ years of work experience with a Bachelor’s degree or 2+ years with an advanced degree
Experience
working with Generative AI systems, including integrating large language models into applications Hands-on experience building applications using LLM providers such as OpenAI, Anthropic, or similar platforms Familiarity with modern GenAI development practices, including prompt design, context management, and orchestration patterns
Experience
with backend platforms, APIs, and microservices architectures supporting AI-driven applications
Experience
with streaming frameworks (Kafka)
Experience
presenting technical designs and solutions to engineering peers
Experience
staying current with emerging trends in AI, GenAI, and distributed systems, and applying them to real-world use cases
Experience
participating in code reviews and mentoring engineers on best practices Strong problem-solving skills and ability to work in fast-paced, ambiguous environments AI Engineering: Familiarity with concepts such as: Prompt engineering System prompts and instruction design Retrieval-augmented generation Vector search Embeddings Tool calling Function orchestration Context management Agent memory Evaluation datasets Model benchmarking Feedback loops A2A and MCP Protocols
Experience
with agentic AI frameworks or tools such as: LangChain LangGraph Model Context Protocol Servers Spring AI OpenAI and Anthropic SDKs Vector databases Knowledge graphs Model evaluation frameworks Ability to evaluate AI outputs objectively and improve quality, safety, reliability, latency, and cost.
Experience
using commercial or open-source AI models and APIs. Demonstrated ability to use AI tools in everyday work for coding, debugging, research, documentation, testing, or productivity improvement. Software Engineering: Strong programming ability in one or more languages such as: Python TypeScript / Node.js Go Java
Experience
building backend services, APIs, data pipelines, integrations, or cloud-native applications. Familiarity with web applications, distributed systems, databases, CI/CD pipelines, logging, monitoring, and automated testing. Ability to write clean, maintainable, secure, and production-ready code.
Experience
participating in design reviews, code reviews, and production troubleshooting. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. If you thrive on rapid growth and enjoy working alongside positive, driven teammates, you’ll feel right at home here. Help us to uplift everyone, everywhere. Whether you’re starting your career, pushing your capabilities or are a seasoned professional, learn how we can partner to reimagine the world. Introduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match. At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Our evolving technology keeps us at the heart of the digital economy, connecting people to 80+ million businesses worldwide. Backed by a resilient, proven model, our expanding network fuels growth—for Visa and for your career. Your journey starts here — discover how we hire Ready to take the next step? Learn more about life at Visa, explore our hiring process and get first-hand insights by hearing directly from our recruiters about what to expect. Apply with confidence today! Learn our recruiting process