Join our dynamic Visa Cybersecurity – Product Security Engineering team, a key component of Visa's Technology organization, where you will play a crucial role in securing and innovating Visa's products and services. Our team is at the forefront of technology, delivering secure, high-quality, and easy-to-use products that enable Visa and our partners to rapidly and efficiently innovate. Cyber Products operationalizes the usage of AI and decision intelligence to ensure ongoing business values. If you want to be in the exciting payment security and AI space, learn fast, and make big impacts, this is an ideal place for you! As part of the team, you will be required to own key modules, perform code and design AI architectural reviews, suggest best practices and implement design and development standards. The role is for a specialist with practical experience in generative AI, a strong passion for problem-solving, expertise in modernizing legacy code, and enthusiasm for adopting emerging technologies such as large language models (LLMs). The Opportunity: This role requires an experienced AI/ML engineer with a passion for working on LLM-based applications. The team is tasked with building key AI/ML applications and scalable pipelines. The successful candidate should have a proven track record of developing multiple AI applications and be adapt at managing the entire spectrum of AI application development while leading multiple workstreams. Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability. Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings. Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads. Develop robust and scalable products. Leverage innovative technologies to build the next generation of Cybersecurity Products. Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities.