Senior Staff Engineer, AI Governance

About Us

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.

AI Governance (AIG) Engineering team is part of the Data and AI Platform (DAP) technology organization in Visa. The team’s mission is to provide a Trustworthy AI – an engineering solution for Visa to achieve centralized AI excellence across Visa.

We aim to develop, assess and deploy AI systems in a responsible and trustworthy way s is a fantastic opportunity to join the effort underway in building the AI Observatory product for Visa.

The AI Observatory product provides an inventory of ML models and AI systems, oversight for models’ full lifecycle, and governance of all models’ accuracy, transparency, fairness, and robustness. We are also uplifting domain‑specific models to the unified AI Governance framework and streamline the modeling efforts to a centralized AI excellence across Visa.

As an AI Engineer in the AI Governance engineering team, you will have the unique chance to make a direct and meaningful impact by delivering solutions that power AI Governance engineering solution. You will design, enhance, and build solutions dealing with the next generation AI/ML and Generative AI technology and be an agent of transformation. We deliver and support strategic goals and have a lasting impact on our enterprise.

We aim to stay ahead of the curve adapting to the advancement of Generative AI and keep our business miles ahead of our competitors.

• Design, develop, and maintain scalable and reliable AI governance service.
• Apply robust architectural principles to create effective and efficient solution.
• Work closely with interdisciplinary teams, including data scientists, product managers, and legal experts, to ensure compliance of AI systems with ethical standards and regulatory requirements.
• Be instrumental in developing an advanced Responsible AI platform utilizing the latest Generative AI technology.
• Address the evolving challenges in AI governance, ensuring the creation of responsible and trustworthy AI solutions.
• Investigate and assess emerging technologies and third‑party solutions, prototyping and strategizing their integration within Visa.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

• 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) or 3 or more years of experience with a PhD.
• MS or Ph.D. degree in Computer Science, Engineering, or related field.
• 10+ years’ work experience in the software technology industry.
• Experience in software development, big data, and machine learning processes.
• Experience in all phases of development – the design, coding, testing, debugging, deployment, and monitoring of applications.
• Experienced with high‑performance imperative languages including Python, Java, Golang, React.js, Next.js.
• Built predictive models using Python and ML libraries and managed their lifecycle, from development to production.
• Experience with big data and distributed computing platforms such as Hadoop, Spark, Docker, Kubernetes, and Airflow.
• Experience working in an agile environment.
• Evaluate vendor and open‑source software, write proof of concepts and design new systems.
• Presen…