Applications Program Analyst

Visa Visa · Fintech · Foster City, CA

This role involves leading the execution of next-generation AI-powered solutions within Visa's technology organization. The analyst will partner with cross-functional teams to guide development from ideation to scaled deployment, focusing on building intelligent, resilient, and trustworthy AI systems for global payment networks. Key responsibilities include leading experimentation, shaping the AI ecosystem, implementing AI-native capabilities, translating business challenges into roadmaps, driving collaboration, championing product quality, and enabling global impact through AI maturity.

What you'd actually do

  1. Lead the experimentation pipeline, evaluating new technologies, model types, LLM-based features, and platform capabilities—and guiding teams through proof‑of‑concepts, pilots, and scaled launches.
  2. Shape Visa’s next‑generation AI ecosystem, leveraging cloud‑native and modern AI/ML technologies to build robust, privacy‑preserving, and globally scalable services.
  3. Implement innovations for AI‑native capabilities that touch 40% of the world’s population, setting new standards for scalability, security, explainability, and reusability.
  4. Translate complex business challenges into clear engineering roadmaps, user requirements, and technical specifications that enable breakthrough innovation across payment flows, fraud intelligence, data products, and real‑time commerce platforms.
  5. Drive cross‑functional collaboration, ensuring model developers, platform engineers, UX teams, and product partners align on architecture, capabilities, and success metrics.

Skills

Required

  • Expertise in one or more general development languages (e.g., Python, NodeJS, Java, C#, C++)
  • Experience building and deploying modern services and web applications with quality and scalability
  • Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams
  • Write code to fulfill ideation of technical requirements to create functional prototypes
  • Provide technical leadership across AI, data platforms, and large‑scale distributed systems
  • Lead structured discovery with product, engineering, and business stakeholders
  • Establish and maintain standards for responsible AI, including data quality, model testing, explainability, observability, and end‑to‑end governance.
  • Lead planning and implementation for new AI capabilities and intelligent features
  • Analyze customer signals, performance patterns, and model behavior to implement systemic improvements and long‑term product enhancements.
  • Analyzes bugs for issues and applies debugging tools to verify assumptions.

Nice to have

  • Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions
  • Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc.

What the JD emphasized

  • AI-powered solutions
  • AI ecosystem
  • AI-native capabilities
  • responsible AI
  • AI maturity

Other signals

  • AI-powered solutions
  • AI ecosystem
  • AI-native capabilities
  • responsible AI
  • AI maturity