Sr. SW Engineer (3-5 yrs of experience in Python and GenAI Automation Development & basic Windows and MacOS knowledge)

• Design, develop, test, and maintain automation solutions using Python.
• Build GenAI-powered applications, intelligent workflows, AI agents, and reusable automation components.
• Use Large Language Models to support use cases such as knowledge retrieval, test generation, failure analysis, incident triage, evidence summarization, and remediation recommendations.
• Integrate automation solutions with APIs, enterprise systems, telemetry sources, knowledge repositories, and workflow platforms.
• Develop reliable and reusable scripts, test frameworks, connectors, and automation modules.
• Create automated functional, regression, integration, and validation tests.
• Implement quality gates, exception handling, logging, human approval points, and auditability.
• Use basic Windows and macOS knowledge to automate system checks, collect logs, execute tests, and troubleshoot automation failures.
• Maintain source code, technical documentation, test evidence, and implementation guides.
• Collaborate with QA, engineering, endpoint, security, and operations teams to convert manual activities into scalable automation.

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• Strong hands-on programming experience in Python.
• Practical experience building solutions using Generative AI, Large Language Models, or AI agents.
• Demonstrated completion of automation projects using Python and GenAI. Candidates should be prepared to explain the project objective, architecture, implementation, challenges, and measurable outcome.
• Experience working with APIs, JSON, source control, testing, debugging, logging, and technical documentation.
• Understanding of prompt engineering and Retrieval-Augmented Generation.
• Familiarity with agent frameworks or AI orchestration tools such as LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen.
• Basic working knowledge of both Windows and macOS, including processes, services, logs, files, software installation, and command-line operations.
• Strong analytical and problem-solving skills with the ability to translate manual processes into maintainable automation.
• Ability to independently build, test, demonstrate, and support production-ready automation solutions.

• - Experience with pytest, Playwright, Selenium, Robot Framework, or comparable automation frameworks.
• Experience with vector databases, embeddings, semantic search, tool calling, function calling, or Model Context Protocol.
• Familiarity with CI/CD pipelines, GitHub, Azure DevOps, Jira, ServiceNow, Power Platform, or Copilot Studio.
• Basic scripting knowledge in PowerShell or Bash.
• Exposure to endpoint management technologies such as Microsoft Intune, Windows Autopilot, MECM/SCCM, or JAMF.
• Experience applying GenAI to test generation, defect triage, root-cause analysis, knowledge retrieval, or operational automation.

• Reduces repetitive manual work
• Improves QA and validation efficiency
• Produces consistent and traceable results
• Accelerates troubleshooting and analysis
• Reuses knowledge and automation components across teams
• Operates with appropriate quality gates, human oversight, and secure engineering practices

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

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

Job Description

Visa Corporate IT is looking for a hands-on Python and GenAI Automation Developer to design and develop intelligent automation solutions for QA, endpoint validation, and operational workflows.

The ideal candidate must have strong Python programming skills, practical experience with Generative AI, and a proven track record of delivering automation projects using Python, GenAI, Large Language Models, or agentic workflows.

This is primarily a software development and intelligent automation role. Deep endpoint engineering expertise is not required, but the candidate should have a basic understanding of Windows and macOS sufficient to develop, test, and troubleshoot cross-platform automation.