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 |
|---|---|---|
| Senior Director - Data Science Senior Director of Data Science for Visa Consulting & Analytics (VCA) in AuNZPI. This role leads and scales the data science capability, delivering high-impact analytics, data science, and AI-driven solutions for clients. It involves client impact, commercial leadership, people management, thought leadership in AI/ML, and project execution with a focus on governance and responsible AI use. The role requires translating data assets into measurable client impact and revenue growth, embedding data science into client strategy, and driving commercialization of AI capabilities. | Ship | 7 |