Visa is looking to build the next generation of scalable and responsible AI/ML infrastructure to empower products that address real-world client and consumer challenges, focusing on migrating on-premises platforms to the cloud and driving adoption of tools that deliver measurable value across the payment ecosystem. Visa's AI/ML models and products are integral to the global economy, playing a critical role in preventing fraud within the payments landscape and delivering high value to clients and consumers.
Requirements
- Hands-on experience in designing cloud-native architectures and enterprise applications on platforms such as AWS, GCP, or Azure.
- Deep understanding of AI and Machine Learning concepts, with emphasis on platforms and tools that enable AI/ML product development.
- Hands-on experience with AI/ML cloud stacks and large-scale enterprise systems.
- Strong background in data science, deep learning models, cloud computing, and big data technologies.
- Proficiency in Agile development practices and experience working with Scrum teams in matrixed environments.
- Familiarity with Agile tools such as Confluence, JIRA, and Tableau.
- Advanced proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Project, SharePoint).
Responsibilities
- Own the product definition and implementation of the AI/ML stack across both on-premises and cloud environments.
- Conceptualize, develop, and launch model-based solution and AI-powered products at the intersection of payments and technology.
- Define detailed platform requirements, acceptance criteria, and success metrics (e.g., SLAs, operational targets).
- Apply hands-on experience in designing cloud-native architectures and enterprise applications on platforms such as AWS, GCP, or Azure.
- Lead grooming sessions and facilitate collaboration across product, data science, and engineering teams.
- Ensure platform capabilities support model risk management, onboarding, and compliance.
- Oversee platform development, ensuring alignment with timelines, quality standards, and strategic goals.
Other
- This role will collaborate cross-functionally with software engineers, data scientists, AI/ML engineers, data engineers, and program managers.
- As a key member of the AI/ML Platform Product leadership team, this role is responsible for the strategy, design, development, and adoption of AI/ML platforms, including model training and experimentation platforms, real-time inference platforms, and GenAI platforms.
- This role leads cross-functional efforts to deliver scalable, cloud and on-premises solutions that empower teams across Visa.
- Drive the platform vision and roadmap, ensuring alignment with Visa’s broader data, AI/ML and business strategies.
- Identify market trends, competitive dynamics, and clients need to inform platform direction and long-term planning.
