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 Overview:
We are looking for a Staff Software Engineer to join our Corporate Generative AI Technologies team. In this role, you will help build, and scale enterprise-grade Generative AI and agentic applications. This is a senior, hands-on engineering role for someone who brings strong system design judgment, full-stack product engineering depth, and the ability to translate complex business workflows into scalable, reliable AI-enabled automation solutions.
You will work on platforms and applications that use AI-native application patterns, including large language models, agentic workflows, retrieval-augmented generation, tool orchestration, API integrations, ETL pipelines, and data systems to transform business processes into intelligent, reliable, and scalable workflows. You will help solve hard engineering problems such as decomposing complex workflows into reusable agents, designing secure human-in-the-loop systems, and building production-grade GenAI applications that can be monitored, evaluated, governed, and continuously improved.
As a Staff Software Engineer, you will operate with autonomy, ownership, and technical judgment while collaborating closely with your manager and the broader engineering team to align on technical direction. You will be responsible for building high-quality software while also influencing system design decisions, architectural direction, engineering standards, and best practices across the team.
Key Responsibilities:
- Design, build, and scale enterprise-grade GenAI and agentic applications, with a strong focus on maintainable, secure, scalable, reliable, and production-ready architecture.
- Own delivery of GenAI subsystems; lead design reviews; mentor I4/I5 engineers.
- Apply strong system design judgment to build full-stack, production-grade applications with robust API design, workflow orchestration, secure data flows, observability, and operational readiness.
- Build modern frontend experiences using React and established frontend patterns, including component-based architecture, state management, reusable UI components, accessibility, performance optimization, and seamless integration with backend APIs and AI-enabled services.
- Design and implement scalable backend services using Python, Node.js, and/or Java, including secure APIs, asynchronous processing, background jobs, authentication, authorization, logging, error handling, and system resiliency.
- Work with databases like PostgreSQL, Redis, vector databases, and related technologies, including schema design, indexing strategies, query optimization, transaction management, caching patterns, migrations, and data access patterns.
- Implement backend capabilities for AI-enabled and agentic workflow automation, including intent routing, agent orchestration, tool execution, API integrations, data retrieval, multi-step execution, workflow state management, human approval flows, guardrails, auditability, and enterprise system integration.
- Develop AI-native capabilities using OpenAI, Anthropic, and related LLM APIs/SDKs, including prompt orchestration, tool/function calling, structured outputs, streaming responses, model routing, and evaluation patterns.
- Apply deep knowledge of modern LLM capabilities to make informed engineering decisions around model selection, context management, latency, cost, reliability, output quality, safety, and user experience.
- Design and implement retrieval-augmented generation solutions, including ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and retrieval quality evaluation.
- Build and deploy cloud-native applications using containers, DevOps practices, CI/CD pipelines, automated testing, monitoring, and operational automation.
- Work closely with engineering teammates and cross-functional partners to align with team priorities, translate ambiguous requirements into proof-of-concepts, then evolve them into production-quality solutions through shared ownership and hands-on collaboration.
- Implement observability and operational excellence for GenAI applications, including end-to-end tracing, workflow telemetry, model evaluation, and monitoring to ensure secure, reliable, and production-ready AI systems.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications - 8+ years of professional software engineering experience designing, building, and operating production-grade applications.
- Bachelor's degree in computer science, Engineering, or related field.
- Hands-on experience in developing and deploying GenAI based enterprise solutions, and a good understanding of how to integrate model capabilities into production applications.
- Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages.
- Strong technical judgment and system design experience, with the ability to evaluate tradeoffs across scalability, security, reliability, maintainability, performance, cost, and delivery speed.
- Familiarity with multi-agent GenAI solutions that incorporate agentic behaviors using A2A and MCP protocols.
- Experience with Redis, Postgres, vector databases, embedding models, and RAG pipelines.
- Experience with DevOps practices, CI/CD pipelines, and version control systems.
- Proven ability to lead cross-functional AI initiatives, including PoC development, stakeholder alignment, and enterprise rollout.
- Excellent communication skills with the ability to translate complex technical concepts to business stakeholders.
Technical Skills:
- Languages & Frameworks: Python, FastAPI, LangGraph
- Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes, ECS
- DevOps: Git, CI/CD pipelines
- Anthropic / OpenAI SDKs, MCP, A2A is a plus
- Databases & Storage: Pinecone, Redis, PostgreSQL
- Monitoring & Governance: Prometheus, Grafana, audit logging, access control
- Frontend: ReactJS, HTML, CSS, JavaScript.
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.
