Internship Intelligent Automation Jobs (NOW HIRING)

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 processing networks, supporting billions of transactions globally.

Within this ecosystem, our team is focused on reimagining Global Operations through intelligent automation. We are building a GenAI-powered, agentic automation platform designed to reduce manual, repetitive workflows and improve the reliability, scalability, and efficiency of operational systems.

Our team operates as a product-oriented engineering group, owning the design and delivery of backend services, full-stack applications, and AI-driven workflow orchestration. We partner closely with platform, infrastructure, and operations teams to build systems that have direct impact across Visa's internal technology landscape.

The Opportunity:

We are looking for a curious and motivated early-career Software Engineer who is excited to work at the intersection of software engineering and emerging AI technologies.

In this role, you'll contribute to building modern automation platforms powered by Generative AI, gaining hands-on experience with agentic workflows, distributed systems, and full-stack development. This is an opportunity to work on real-world applications of AI within production systems, while continuing to build strong engineering fundamentals.

You'll collaborate with experienced engineers to design, build, and scale systems that improve operational efficiency across Visa's global infrastructure.

The Work itself:

• Design and develop backend services and APIs using Python (FastAPI) and distributed system patterns of microservices
• Build and enhance full-stack applications, including React-based user interfaces
• Contribute to the development of GenAI-powered automation workflows, including exposure to frameworks such as LangChain and LangGraph
• Help implement agentic workflows that coordinate multi-step system actions and automation
• Collaborate with cross-functional teams across product, platform, and infrastructure
• Participate in system design discussions, code reviews, and agile ceremonies
• Troubleshoot issues and improve the reliability and performance of existing systems
• Contribute to best practices in scalability, maintainability, and engineering quality
• Support production systems through a light on-call rotation focused on reliability and continuous improvement

This is a hybrid position.Expectationofdays intheoffice will be confirmed by your Hiring Manager.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications
Bachelor's degree, OR 3+ years of relevant work experience
Preferred Qualifications

• Engineering Fundamentals: Strong foundation in at least one programming language (e.g., Python, Java, C++, JavaScript)
• Full-Stack Interest: Experience or interest in building both backend services and frontend applications (React or similar frameworks)
• GenAI & Automation Exposure: Familiarity with Generative AI concepts through coursework, internships, or projects (e.g., LLM APIs, prompt design, RAG, or workflow-based AI tools)
• Agentic Workflow Awareness: Exposure to building or experimenting with multi-step AI workflows, automation pipelines, or agent-based systems using LangChain / Langraph (academic or project-based experience is sufficient)
• Systems Thinking: Interest in distributed systems, APIs, and event-driven micro services architectures
• Builder Mindset: Desire to build scalable, real-world systems and improve them over time
• Curiosity & Learning Agility: Eagerness to learn new technologies, especially in rapidly evolving areas like AI and automation
• Collaboration: Experience working in team-based environments (internships, school projects, or industry) and engaging in technical discussions
  

Nice to Have

• Exposure to cloud platforms (AWS, GCP, or Azure)
• Familiarity with APIs, microservices, or event-driven systems (Kafka, messaging systems)
• Experience with tools such as GitHub, CI/CD pipelines, or observability platforms
• Coursework or projects related to machine learning, AI systems, or workflow automation

U.S. Applicants Only

The estimated salary range for this positionis $88,000.00 to $ 136,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.