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Staff Machine Learning Engineer- AI Governance - job 14 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

At Visa, we're on the cutting edge of technology, and our AI Governance team is at the forefront of this exciting evolution. As a Staff Machine Learning Engineer focusing on AI Governance, you will play a pivotal role in shaping the future of responsible AI solutions. Your creativity and expertise will contribute directly to the development of our AI Observatory product, which not only catalogs ML models but also ensures their ethical deployment across our vast enterprise. You'll get to collaborate with a diverse group of professionals, including data scientists and product managers, to build and enhance scalable AI governance services. Your efforts will help ensure that our AI systems meet rigorous accuracy, fairness, and transparency standards while adhering to legal regulations. Plus, with an adaptable hybrid working model that encourages a healthy work-life balance, you can enjoy the best of both remote and in-office collaboration. By integrating next-generation AI/ML technologies, you’ll be an integral part of not just keeping us ahead of industry standards, but also advancing the entire AI landscape. Join us in making a lasting impact through trustworthy AI solutions and help drive the mission of excellence at Visa.

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

What are the primary responsibilities of a Staff Machine Learning Engineer - AI Governance at Visa?

As a Staff Machine Learning Engineer specializing in AI Governance at Visa, your key responsibilities include designing and maintaining scalable AI governance services, collaborating with interdisciplinary teams to ensure compliance with ethical standards, and developing a Responsible AI platform. You'll also assess emerging technologies and integrate third-party solutions, thereby playing a crucial role in the lifecycle and oversight of AI systems.