Staff Software Engineer

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

Role Summary:

We are seeking a Staff AI Engineer to help build next-generation cybersecurity AI products for enterprise security teams.

This is a hands-on individual contributor role for an engineer who combines strong AI engineering capability, practical software development skills, and a strong interest in cybersecurity. You will report to the Director, Cybersecurity AI Product and work as part of a newly formed product development team focused on building and operating agentic solutions that help users investigate threats, triage alerts, automate security workflows, analyze vulnerabilities, and make better security decisions.

The ideal candidate is AI-native, product-minded, proactive, and comfortable working through ambiguity. You should be able to learn quickly, experiment with new AI technologies, build reliable product features, and translate customer problems into practical AI-driven solutions.

This role requires hands-on experience with LLM applications, agentic AI systems, retrieval-augmented generation, tool orchestration, context management, model evaluation, cloud-native software engineering, APIs, and secure software development. Familiarity with cybersecurity concepts, security operations, cloud security, or threat intelligence is strongly preferred.

Key Responsibilities:

• Design and Build Advanced Cybersecurity AI Products
• Build agentic AI workflows for various cybersecurity operations, engineering, and risk processes.
• Convert ambiguous product ideas and early prototypes into secure, maintainable, production-grade AI systems
• Take end-to-end Technical Ownership of Complex AI Product Components, from problem framing to production operation.
• Break down ambiguous problems into technical plans, milestones, risks, and deliverables
• Contribute to technical roadmaps and influence prioritization through evidence, customer feedback, and engineering principles
• Identify design gaps, tech-debts, scalability risks, and make sound engineering trade-offs.
• Research, Evaluate, and Operationalized Emerging AI Technologies
• Continuously Learn, Research and Evaluate Emerging AI technologies
• Translate research findings into practical implementation patterns, product features, internal recommendations, or technical standards
• Share findings through technical documentation, demos, internal talks or fast POCs
• Build Production-Grade AI Products
• Develop backend services, APIs, integrations, AI orchestration, data pipelines, and other software components.
• Support deployment, monitoring, debugging, and operational support of AI products
• Work with CI/CD pipelines, containers, infrastructure as code, logging, metrics, and automated testing
• Design systems that scale across customers, workloads, data sources, and platforms
• Influence Through Technical Excellence
• Provide technical guidance to other engineers through code reviews, design discussions, documentation, and example implementations
• Mentor less experienced engineers informally through strong engineering practice and clear reasoning
• Raise the quality of team decisions by bringing evidence, research, customer context, and practical trade-off analysis
• Communicate complex AI, security, and architecture concepts clearly to technical and non-technical stakeholders
• Collaborate with product, security, solution engineering, and