Analyst, Applied AI Solutions

Visa Visa · Fintech · San Francisco, CA

Visa is seeking an Analyst of Applied AI Solutions to join a new pod focused on designing and delivering practical, high-impact AI solutions for internal business teams. The role involves hands-on development of AI-powered tools, agents, and automations to address business workflows and manual efforts, requiring rapid iteration, deployment, and user adoption. Success hinges on understanding target workflows and delivering effective, durable AI solutions, with a need for strong communication skills to support documentation and enablement for non-technical audiences.

What you'd actually do

  1. Serve as the embedded applied AI builder for your assigned team, acting as the primary builder, advisor, and problem-solver for AI-enabled workflow transformation.
  2. Translate scoped workflow needs and AI requests into concrete technical solutions using modern AI development workflows.
  3. Identify and replace manual or inefficient workflows by designing and building internal AI-powered tools, agents, and automations that integrate with Visa’s systems and ways of working.
  4. Iterate quickly on prototypes and solutions based on feedback from the pod lead and end users.
  5. Templatize and document solutions to support reuse, maintainability, and scale.

Skills

Required

  • Demonstrated hands-on experience building AI-powered tools, agents, or automations, with fluency in coding and modern AI development workflows.
  • Working fluency in commonly used programming and scripting languages for AI‑driven tooling and automation (e.g., Python, JavaScript/TypeScript, SQL), with comfort generating, debugging, and iterating on AI-generated code to ship production-ready solutions.
  • Proven ability to translate ambiguous business problems into practical, AI-enabled solutions that improve productivity and execution – meeting the end user’s needs
  • Ability to work autonomously within an embedded team, building trust with stakeholders and balancing rapid delivery with scalable design.
  • Strong communication skills, with the ability to explain technical concepts clearly to non-technical audiences.

Nice to have

  • Strong working knowledge of enterprise AI platforms, foundation models, and agent orchestration frameworks, including Microsoft AI solutions (e.g., Microsoft 365 Copilot, Copilot Studio), leading model ecosystems (e.g., Claude, Grok, OpenAI, Gemini), and agentic tooling/platforms (e.g., Claude Cowork, OpenClaw).
  • Digitally native mindset with curiosity, speed, and comfort operating in evolving AI toolsets and environments.

What the JD emphasized

  • building relationships across the organization
  • building trust with stakeholders
  • building internal AI-powered tools, agents, and automations
  • building trust with stakeholders

Other signals

  • embedded applied AI builder
  • designing and building internal AI-powered tools, agents, and automations
  • rapid solutioning, iterative development, and deployment of AI applications
  • translate ambiguous business problems into practical, AI-enabled solutions