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Staff Machine Learning Engineer- AI Governance - job 16 of 21

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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 model’s 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 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.

Responsibilities

You will design, develop, and maintain scalable and reliable AI governance service.
You will apply robust architectural principles to create effective and efficient solution.
You will 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.
You will be instrumental in developing an advanced Responsible AI platform utilizing the latest Generative AI technology.
You will address the evolving challenges in AI governance, ensuring the creation of responsible and trustworthy AI solutions.
You will investigate and assess emerging technologies and third-party solutions, prototyping and strategizing their integration within Visa.

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 60% of the time based on business needs.

Average salary estimate

$135000 / YEARLY (est.)

min

max

$120000K

$150000K

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What You Should Know About Staff Machine Learning Engineer- AI Governance, Visa

Join Visa as a Staff Machine Learning Engineer in AI Governance and be part of an innovative team dedicated to creating trustworthy AI solutions! Located in the vibrant city of Foster City, the AI Governance (AIG) Engineering team is integral to the Data and AI Platform (DAP) technology organization. Our mission? To lead Visa into a new era of responsible AI by developing, assessing, and deploying AI systems that prioritize transparency, fairness, and robustness. In this exciting role, you'll work on the cutting-edge AI Observatory product, which provides a comprehensive inventory of machine learning models along with governance protocols for their operational lifecycle. This isn't just another engineering job; you will have a direct and meaningful impact on AI innovation at Visa by designing and enhancing solutions that embrace Generative AI technology. Imagine collaborating with a diverse group of professionals—data scientists, product managers, and legal experts—to ensure all our AI systems comply with ethical standards and regulations. This hybrid position offers the perfect balance, requiring you to be in the office three days a week while also allowing for remote work. If you're a forward-thinker ready to tackle the evolving challenges in AI governance, come help us shape the future of AI at Visa!

Frequently Asked Questions (FAQs) for Staff Machine Learning Engineer- AI Governance Role at Visa

What are the main responsibilities of a Staff Machine Learning Engineer in AI Governance at Visa?

As a Staff Machine Learning Engineer in AI Governance at Visa, you'll take charge of designing, developing, and maintaining scalable AI governance services. You'll be instrumental in applying robust architectural principles and working collaboratively with interdisciplinary teams to ensure that all AI systems align with ethical standards and regulatory requirements.