Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job DescriptionJoin us in shaping the future of Generative AI at Visa and making a significant impact on the enterprise.
You will have the opportunity to work across various roles from development to architecture and collaborate closely with a cross-functional team of architects, engineers, data scientists, and product managers to design, implement, and deliver solutions that are intuitive, user-centric, and accessible to everyone at Visa.
The Cyber Analytics and AI Innovation team is revolutionizing the field of machine learning and artificial intelligence by developing cutting-edge capabilities and tools that empower employees at Visa to develop secure applications with higher productivity. We are a dynamic and innovative team, driven by a passion for AI/ML technology and a commitment to delivering exceptional platforms and services to our business partners at Visa.
We are at the forefront of innovation, developing a suite of cutting-edge, Secure Enterprise AI Applications that are set to redefine the landscape of Gen AI. Our projects include:
Next-Generation GenAI Chat Services: Leveraging the power of advanced language models to provide intelligent, context-aware communication solutions for internal operations and customer interactions.
Enterprise-Grade Chatbot Platform: Creating a robust, scalable infrastructure to support AI-driven conversational interfaces across multiple touchpoints within our organization.
Intelligent AI Agent Service: Developing a sophisticated system that combines machine learning and natural language processing to automate complex tasks and enhance decision-making processes.
Comprehensive Security Guardrails: Implementing state-of-the-art security measures and protocols to ensure the utmost protection of sensitive data and maintain compliance with global financial regulations.
Scalable Enterprise AI Products: Designing and deploying AI-powered solutions that can be seamlessly integrated into various business units, driving efficiency and innovation across the organization.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office three days a week, Tuesdays, Wednesdays, and Thursdays, with a general guidepost of being in the office 50% of the time based on business needs.
QualificationsBasic Qualifications:
• 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Preferred Qualifications:
• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
• Minimum of 3+ years of experience in developing highly available and scalable RESTful services using Python. Experience with Java, Go, Rust or any other object-oriented programming language is a plus.
• Hands-on experience with design and development tools like IntelliJ, VSCode, Postman, and Jupyter.
• Expertise in evaluating various large language models (LLMs), assessing their performance, and comparing their capabilities to identify suitable models based on business requirements.
• Proven experience in machine learning model fine-tuning and optimization.
• Strong knowledge of knowledge graph construction and management.
• Proficiency in vector embedding techniques and their applications.
• Hands-on experience with AI model APIs and AI agent frameworks.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Familiarity with the Nvidia ecosystem, including CUDA, and other relevant tools.
• Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure).
• Proficiency in working with both RDBMS (preferably MySQL) and NoSQL databases (preferably Cassandra).
• Knowledge of Git for version control
• Ability to multi-task in a dynamic and fast paced environment.
• Solid understanding of software development best practices and principles.
• Experience with Agile methodologies and practices.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, both written and verbal, to effectively collaborate with cross-functional teams.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
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What We Do
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges,
growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world.
Progress starts with you
For more information, visit visa.com/about, @LifeatVisa Instagram, and @VisaNews on X.
Why Work With Us
At Visa, every voice powers progress. We believe inclusion fuels innovation — and that unique perspectives create better outcomes for our teams, our business, and the world we serve. With more than 13K members across our Employee Resource Groups, you’ll find community, allyship, and opportunities to lead, learn and make an impact beyond your desk.
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