Currently tracking 74 active AI roles, down 46% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $88k–$452k (avg $201k).
Visa currently has 140 active AI-related job listings. The majority of these roles, 46%, are focused on agents, with application roles making up another 26%. Engineering is the most frequent function, with 115 positions. The company is actively hiring for roles involving agent orchestration, model serving, and fine-tuning. Over the last 30 days, Visa has significantly increased its AI hiring, adding 138 new roles, a 200% increase compared to the previous 30-day period.
Visa currently has 137 active AI-related roles in our index. The most common open titles are: Staff SW Engineer (5), Senior Software Engineer (4), Staff Software Engineer (3), Assoc. Cybersecurity Engineer (2), Associate Cybersecurity Engineer (2). Most positions are in Engineering and Product.
Visa's active AI hiring is concentrated in: agents (47%), application (26%), serving infrastructure (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Visa is hiring AI talent in: United States (98 roles), Singapore (8 roles), Poland (7 roles), United Kingdom (3 roles).
Job postings at Visa most frequently reference: agent orchestration, model serving, llm observability, rag, fine tuning.
In the past 30 days, Visa has posted 72 new AI-related roles. That is a -43% change versus the prior 30 days (126 → 72).
| Title | Stage | AI score |
|---|---|---|
| Client Consulting Analyst Visa's Consulting and Analytics (VCA) arm seeks a Client Consulting Analyst to support strategic consulting projects for financial institutions, issuers, and merchants. The role involves detailed data analysis, identifying trends, conducting market research, and supporting the development of client presentations and advisory solutions. The analyst will collaborate with experienced professionals, adapt templates for client needs, and execute quantitative and qualitative analysis with guidance. An interest in advanced analytics tools and the payments industry is preferred. | — | 0 |