Visa is looking to solve real-world consumer challenges by building the next generation of scalable and responsible AI/ML infrastructure and services to power products, preventing fraud within the payments landscape and delivering significant value to internal and external clients.
Requirements
- Deep expertise in AI/ML concepts, platforms, and tools, enabling the design and delivery of enterprise-grade solutions.
- Hands-on experience with cloud-native AI/ML stacks and large-scale systems across AWS, GCP, and Azure.
- Proficiency in data science, deep learning, GenAI, and big data technologies, driving innovation and scalability.
- Strong knowledge of MLOps frameworks, CI/CD pipelines, containerization (Docker, Kubernetes), and model governance, ensuring operational excellence and compliance.
- Understanding of responsible AI principles and ethical considerations, promoting trust and transparency in AI solutions.
- Proficiency in Agile methodologies and tools (JIRA, Confluence, Tableau).
- Advanced skills in Microsoft Office and familiarity with product lifecycle management for AI/ML platforms.
Responsibilities
- Define and execute the AI/ML platform NorthStar strategy and roadmap, ensuring alignment with Visa’s global data, AI/ML, and business objectives.
- Partner with business and technology to develop a comprehensive plan for migrating AI/ML workloads to the cloud.
- Monitor market trends, competitive dynamics, and client needs to guide platform evolution and long-term planning.
- Lead cross-functional teams of product managers, engineers, and data scientists in a matrixed organization to translate customer needs into platform capabilities.
- Apply hands-on expertise in designing cloud-native architectures and enterprise-scale applications on the cloud.
- Ensure platform capabilities meet compliance, model risk management, and onboarding requirements.
- Oversee development and delivery to ensure adherence to timelines, quality standards, and strategic objectives.
Other
- 10+ years of professional experience with a bachelor’s degree, or 8+ years with an advanced degree (Master’s/MBA), or 8+ years with a PhD.
- 5+ years of people management experience.
- Strong ability to align AI/ML capabilities with strategic outcomes in financial services and payments.
- Travel 5-10% of the time.
- Work in an office setting with varying hours depending on department needs.
