Staff Machine Learning Engineer, Responsible AI Engineering

Visa•Foster City, CA

1d•Hybrid

About The Position

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. The 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 at Visa. This is a fantastic opportunity to join the effort undergoing in building the AI Observatory product for Visa. The AI Observatory product provides an inventory of ML models and AI systems, oversight for model’s 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 AI Governance engineering team, you will have the unique chance to make a direct and meaningful impact by building and delivering solutions that power AI Governance engineering solutions. 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.

Requirements

5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD

Nice To Haves

6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
MS or Ph.D. degree in Computer Science, Engineering, or related field.
8+ years’ work experience in the software technology industry.
Participated in all phases of development—including design, coding, testing, debugging, deployment, and monitoring of applications.
Hands on with Python or React.js skills, capable of reviewing auto generated code for potential issues.
Experience using code generators to create full stack applications.
Handled containers and orchestration with Dockers and Kubernetes
Experience working in an agile environment.
Evaluate software, write proof of concepts, and design new systems.
Keeping up with Gen AI trends is your hobby.
Strong understanding of agentic frameworks.
Experience with Gen AI models and developing applications that leverage their capabilities.
Handled AI Governance issues - Bias, Drift, Risk, Privacy and Security.
Published your work and delivered presentations on Gen AI topics to larger audiences.

Responsibilities

Design, develop, and maintain scalable and reliable AI governance services.
Apply robust architectural principles to create an 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.