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Machine Learning Engineer- Sr. Consultant level- AI Governance - job 11 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 a Machine Learning Engineer in 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.

Essential Functions:

You will leverage sound architectural principles to implement effective and efficient solutions.

You will use Generative AI tools to expedite your delivery.

You will play a pivotal role in developing an advanced Responsible AI platform using the newest Generative AI technology. Your responsibility will include addressing evolving challenges in AI governance, and responsible and trustworthy AI.

You will explore and evaluate emerging technologies, third-party solutions, and prototype and strategize their adaptation within Visa. Specifically, work with agentic frameworks such as LangGraph, LangChain, and APIs like OpenAI, Llama and implement Retrieval-Augmented Generation (RAG), Fine-Tuning, Reinforcement Learning techniques.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Average salary estimate

$140000 / YEARLY (est.)

min

max

$120000K

$160000K

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What You Should Know About Machine Learning Engineer- Sr. Consultant level- AI Governance, Visa

As a Machine Learning Engineer at Visa, specifically in the AI Governance team, you'll be at the forefront of innovation, helping to build a solid foundation for Trustworthy AI across the organization. This is a unique opportunity to join a passionate group dedicated to developing and managing AI systems responsibly. In your role, you'll play a key part in the development of the AI Observatory product, which provides a comprehensive inventory of machine learning models and ensures governance over their entire lifecycle. Your expertise will contribute to enhancing the accuracy, transparency, fairness, and robustness of these models, empowering Visa to stay ahead in the competitive landscape. Your work will involve leveraging cutting-edge Generative AI tools to streamline processes and elevate our AI Governance framework, ensuring that we implement effective solutions that adhere to sound architectural principles. As you explore and assess emerging technologies and frameworks like LangGraph and LangChain, you will not only prototype their integration into existing systems but also strategize their adaptation to strengthen our governance efforts. This role is hybrid, offering flexibility in your work environment, and you'll have the chance to make a positive, lasting impact on one of the largest payment networks in the world.

Frequently Asked Questions (FAQs) for Machine Learning Engineer- Sr. Consultant level- AI Governance Role at Visa

What are the primary responsibilities of a Machine Learning Engineer at Visa?

A Machine Learning Engineer at Visa is primarily focused on developing and deploying AI systems within the AI Governance team. This includes designing and building solutions that ensure the accuracy, transparency, and ethical use of AI technologies. Engaging with the AI Observatory product means that you'll be involved in managing the full lifecycle of machine learning models and ensuring compliance with governance standards that promote responsible AI practices.