Machine Learning Engineer- Sr. Consultant level- AI Governance

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

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. 

Qualifications

Basic Qualifications:

• 8 or more years of relevant work experience with a Bachelor 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

Preferred Qualifications:

• 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
• Experienced with high-performance imperative languages including Python, Java, React.js, Next.js, full-stack web development.
• Experienced Big data and distributed computing platforms such as Hadoop, Spark, Docker, Kubernetes, and Airflow.
• Experience in ML, AI and Generative AI model and applications development.
• Strong understanding of agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, etc.
• Experience with OpenAI or Anthropic or Llama API and developing applications that leverage its capabilities.
• Familiarity with Retrieval-Augmented Generation (RAG) techniques.
• Hands on experience with Pre-Training, Fine-Tuning, Reinforcement Learning.
• Understanding of Model Bias, Fairness, Model Explainability and Model Drift.
• Prior experience in Google Cloud Vertex AI, AWS SageMaker or Azure Machine Learning Studio is a plus.

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 174,500.00 to 253,200.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.