Senior Software Engineer - Corporate GenAI

Visa•Austin, TX

22d•$116,800 - $180,600•Hybrid

About The Position

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. The Opportunity: We are looking for a versatile and curious Software Engineer who embrace solving complex challenges on a global scale. You'll be part of our Corporate GenAI team, focused on building and scaling AI-powered workflows across Visa's global enterprise. Our team works on several areas related to Generative AI, agentic automation, and business process optimization. We own a service desk chat assistant that supports a broad variety of common services and support use cases across Visa's 35,000-employee organization globally. The assistant can take action through agentic workflows, helping users resolve issues faster and reducing manual support effort. We also work cross-functionally by embedding with business teams to understand manual business processes and convert them into automated, AI-assisted workflows. You will be joining a small, highly skilled engineering team with strong experience in GenAI systems, workflow automation, agentic design, and enterprise AI delivery.

Requirements

2+ years of relevant work experience with a Bachelor's degree, OR 5+ years of relevant work experience. Masters' graduates must have 2+ years of relevant work experience to qualify.
Familiarity with basic concepts of prompt engineering and experience using language model APIs (such as Anthropic SDK, OpenAI Responses API) in academic or personal projects.
Basic understanding of software development concepts and the Software Development Lifecycle, including development, testing, deployment, and maintenance.
An understanding of component-based design, reusable UI patterns, and front-end state management concepts such as component state, shared application state, schema/model definitions, efficient data flow, and UI performance optimization.
Exposure to back-end development concepts and at least one server-side programming language, such as Python, Java, C#, or Node/TypeScript, including APIs, server-side logic, data validation, authentication/authorization, error handling, logging, and integration with databases or external services.
Introductory experience with relational, NoSQL, or in-memory databases, such as PostgreSQL, MySQL, MongoDB, Redis, or similar technologies, including basic querying, data modeling, schema design, indexing concepts, data access patterns, and integration with applications or APIs.
Awareness of cloud platforms, such as Azure, AWS, or Google Cloud, with eagerness to learn basic cloud services and cloud-hosted application development.
Learning mindset: Interest in learning about software design patterns and best practices.
Ability to collaborate in cross-functional teams and communicate technical concepts clearly.
Demonstrated curiosity and enthusiasm for Generative AI and new technologies.
Strong problem-solving skills and attention to detail.
Willingness to learn from senior team members and adapt to evolving technologies.

Nice To Haves

Education BS/MS in Computer Science, Software Engineering or equivalent experience.
Familiarity with modern front-end development, including HTML, CSS, JavaScript and/or TypeScript, with React preferred
Introductory experience building, consuming, testing, or documenting REST APIs, including understanding HTTP methods, request/response formats, status codes, headers, authentication basics, validation, error handling, versioning concepts, and integration with front-end applications or external services.
Ability to write, review, and refine clean, readable code in one or more languages, such as Python, Java, C#, or JavaScript/TypeScript.
Experience using LLM-assisted development tools to support coding, debugging, refactoring, test generation, documentation, and problem-solving, while applying judgment to validate outputs.
Ability to evaluate AI-generated code critically, including assessing correctness, readability, maintainability, security, performance, edge cases, and alignment with requirements.
Familiarity with version control systems, especially Git.
Introductory exposure to CI/CD concepts and development workflows, including automated builds, testing, code quality checks, deployment pipelines, and release processes.
Exposure to GenAI software development tools through academic projects, workshops, or self-learning.

Responsibilities

Design, build, and operate production-grade AI agents and orchestration workflows.
Own end-to-end agent lifecycle: discovery, routing, execution, streaming responses, compliance, deployment and enterprise CI/CD pipelines.
Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings.
Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads.
Develop robust and scalable products intended.
Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities.