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.
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 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 |
|---|---|---|
| Sr Site Reliability Engineer - Middleware, DevOps & Cloud This role focuses on applying AI & ML techniques to enhance the reliability, availability, and performance of Visa's middleware infrastructure. The engineer will develop intelligent automation systems, integrate ML models, and improve monitoring/observability, working with AI/LLM frameworks. The role involves supporting middleware software, designing reliability solutions, and collaborating with data science teams. Experience with DevOps, cloud platforms, and programming languages like Python, Java, or Go is required, with AI/ML engineering experience being a plus. | ServeData | 7 |
| Staff ML Scientist - PFI Staff ML Scientist at Visa focused on building, training, testing, validating, and productizing machine learning models. The role involves implementing MLOps best practices, utilizing AWS SageMaker, and understanding model explainability. Experience with deep learning frameworks and model serving is required, with a focus on fintech applications. |
| ServePost-train |
| 7 |
| Data Scientist Data Scientist role at Visa focused on developing and implementing risk models, analyzing transaction data using big data technologies, and deploying/monitoring these models in production. The role involves statistical analysis, machine learning, and potentially deep learning and NLP for risk assessment and product insights within the fintech domain. | Serve | 7 |