Lead System Architect (AI/Machine Learning) (Hybrid/Onsite)

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

Commercial and Money Movement Solutions (CMS) is one of the key elements of Visa’s vision. It expands Visa ecosystem to the movement of money for everyone, everywhere.

We are in the era of exponential advancement in AI-powered technologies, accelerated by the recent advent of Generative AI (GAI) applications and Large Language Models (LLMs). Visa is leading the industry in its embrace of GAI and LLMs in the payments space. 

We are seeking a dedicated Lead AI/ML Architect with a strong focus on architecture, design and cross-functional collaboration. The successful candidate will play a pivotal role in designing CMS AI/ML solutions, guiding engineering teams, and working closely with product managers and other stakeholders. This role involves ensuring the successful implementation of AI/ML solutions to enhance money movement processing, and overall customer experience.

Key Responsibilities

• Guide the organization in the use of AI solutions to deliver top-tier commercial and money movement applications and services.

• Work with product managers and other stakeholders to understand business needs, define AI features, and translate these into architectural designs and AI algorithms.

• Develop and implement robust, scalable and secure AI/ML architectures.

• Collaborate closely with the engineering teams to guide the implementation of AI/ML solutions.

• Conduct regular reviews and optimizations of existing AI/ML models and architectures to ensure optimal performance.

• Provide technical leadership, mentorship, and architectural guidance to the AI/ML and engineering teams.

• Keep abreast of the latest AI/ML technologies, architectural patterns, and industry trends to drive innovation and improvement.

• Evaluate, develop, and deploy innovative technology solutions in the AI & ML space.

• Develop architectural and technical documentation to guide the engineering teams during the development and implementation stages.

• Support AI best practices through code examples and sharable components, frameworks and libraries.

• Contribute to key CMS technology initiatives.

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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications:
• 10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.

Preferred Qualifications:
• 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
• Degree in Computer Science, Data Science, Statistics, or a related field.
• A minimum of 10 years of experience in AI/ML, architecture amd software development.
• Extensive experience in a similar role, ideally within the Payments industry, with a strong focus on architectural design, Generative AI and software development.
• Strong knowledge of AI/ML and Generative AI algorithms, and their application.
• Experience with commercial and open-source large language models (LLM), popular machine learning learning platforms.
• Proficiency in Python, Tensorflow, PyTorch, Spring AI and similar AI/ML tools.
• Demonstrated experience assisting engineering teams in the implementation of AI/ML and Generative AI models in production environments.
• Proven experience with data processing, data pipelines, and ETL processes.
• Excellent problem-solving skills with the ability to work under pressure and troubleshoot technical issues.
• Exceptional leadership, communication, and team collaboration skills.

Additional Information

Work Hours: Varies upon the needs of the department.

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