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About the role
Visa is hiring a Staff AI Engineer to build next-generation cybersecurity AI products for enterprise security teams. This is a hands-on individual contributor role reporting to the Director, Cybersecurity AI Product, within a newly formed product development team. It suits an AI-native, product-minded engineer who is comfortable with ambiguity and has a strong interest in cybersecurity.
What you'll do
Design and build advanced cybersecurity AI products
Build agentic AI workflows for cybersecurity operations, engineering, and risk processes
Turn 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 debt, and scalability risks, and make sound engineering trade-offs
Research, evaluate, and operationalize 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
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
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 customer-facing teams to ensure product capabilities address real customer workflows
Demonstrate ownership, proactiveness, customer obsession, and ability to operate effectively in ambiguity
Good to know
Visa requires at least 3 days in office, with expectations confirmed by your Hiring Manager
Requirements
5+ years of professional experience in AI engineering and software engineering
3+ years of hands-on experience building AI/ML, LLM-based, automation, data-driven, or intelligent software systems
Experience building production software, not only prototypes or notebooks
Experience working in product engineering teams or delivering customer-facing technical solutions
Strong practical experience with LLM applications, AI workflow automation, AI assistants, copilots, or agentic AI systems
Familiarity with prompt engineering, system prompts and instruction design, retrieval-augmented generation, vector search, embeddings, tool calling, function orchestration, context management, agent memory, evaluation datasets, model benchmarking, and feedback loops
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