14 days ago
Base Salary
$112k - $204k/yr
Responsibilities
- Design, develop, and implement software solutions using generative AI, conversational AI, RAG, and modern integration patterns.
- Design, integrate, deploy, monitor, evaluate, and continuously improve AI components within larger enterprise platforms.
- Develop APIs integrating payment applications, platforms, AI services, and solutions.
- Collaborate with Product, Operations and Infrastructure, Cybersecurity, Client Support, and Product Development teams.
- Advance platform modernization and improve technology stacks, development processes, quality, scalability, resilience, and time to market.
- Automate software development, testing, deployment, and maintenance processes while validating AI-generated outputs.
- Support incident, change, and problem management, including troubleshooting and root-cause analysis.
- Develop client-focused payment product solutions and share knowledge across the engineering team.
Requirements
- At least 2 years of relevant work experience and a bachelor’s degree, or at least 5 years of relevant work experience.
- Expert-level skills in Java, Python, and Node.js; C++ or C# experience is a plus.
- Experience building generative AI applications, conversational AI solutions, and retrieval-augmented generation architectures.
- Strong understanding of natural language processing, including tokenization, word embeddings, and sequence models.
- Experience implementing and fine-tuning AI and machine learning models with TensorFlow, PyTorch, or scikit-learn.
- Understanding of machine learning and deep learning fundamentals, model evaluation, robustness, reliability, security, and responsible AI practices.
- Experience with large datasets, exploratory data analysis, data preprocessing, feature engineering, and model evaluation.
- Proficiency with front-end technologies such as React, Angular, and Node.js.
- Experience configuring build and deployment systems including Docker, Jenkins, and Kubernetes.
- Expertise in multithreading, concurrency, error handling, application design, troubleshooting, and enterprise-scale components.
- Knowledge of version control, CI/CD pipelines, ML model deployment, Redis, enterprise security, certificate management, OAuth 2.0, SSO, application security, SSDLC, and cryptography.
- Ability to independently validate AI-generated code, tests, documentation, and technical recommendations.
- Three or more years of work experience with a bachelor’s degree, or more than two years with an advanced degree, is preferred.
- Payment technology industry experience is preferred.
Benefits
- Estimated US salary range of $112,100 to $204,000 per year, with potential bonus and equity eligibility.
- Benefits may include medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and a wellness program.
- Hybrid work arrangement requiring at least three days in the office, with exact days confirmed by the Hiring Manager.
- Travel requirement of 5–10% of the time.
- Work hours vary according to department needs.
Tech Stack
Categories
About Visa
Visa builds and operates a global digital payments network that connects consumers, merchants, financial institutions, and governments. It earns fees for processing card transactions and offering risk, data, and value‑added services through VisaNet and products like tokenization and tap‑to‑pay. Founded in 1958 and headquartered in Foster City, California, Visa is a public company (NYSE: V) serving clients in more than 200 countries and territories.