Visa Cybersecurity – Product Security Engineering team is looking to secure and innovate Visa's products and services by operationalizing the usage of AI and decision intelligence to ensure ongoing business values. 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).
Requirements
- Experience with large-scale data processing and distributed systems.
- Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
- Strong knowledge in AI/ML and data technologies, with expertise in Python and Java.
- Hands-on expertise with Java, Spring, Python, and Angular/React.
- Proficiency in programming languages such as Python, Java, or C++, and software development.
- Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Docker, Kubernetes, Scikit-learn).
- Demonstrated experience in developing scalable AI pipelines and integrating models into real-time systems.
Responsibilities
- Leading and delivering specific project deliverables as an AI Engineer.
- Providing guidance to the engineering team on building new LLM applications and leveraging existing AI applications.
- Improving the productivity of the engineering organization by infusing AI into our coding standards and practices.
- Acting as the AI projects design authority.
- Shaping best practices and methodologies within the team.
- Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability.
- Develop robust and scalable products.
Other
- Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale.
- Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions.
- Builder: Experience building and deploying modern services and web applications with quality and scalability.
- Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc.
- This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
