Director, Artificial Intelligence Architecture
San Francisco, CA, United States
Visa
Das digitale und mobile Zahlungsnetzwerk von Visa steht an der Spitze der neuen Zahlungstechnologien für die neue Zahlung, elektronische und kontaktlose Zahlung, die die Welt des Geldes bildenCompany 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
Responsibilities
- Collaborate with product managers, data scientists, software engineers, and other stakeholders to understand business goals and determine AI requirements.
- Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions.
- Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability.
- Lead the development and implementation of AI models, ensuring adherence to best practices in machine learning and deep learning.
- Develop and maintain AI pipelines, incorporating data cleaning, pre-processing, feature engineering, model training, and validation processes.
- Optimize AI models and systems for performance, scalability, and efficiency.
- Conduct regular code reviews and provide technical guidance to junior members of the team.
- Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization.
- Collaborate with infrastructure teams to ensure smooth deployment and monitoring of AI models in production environments.
- Document AI architectures, design decisions, and technical specifications for reference and knowledge sharing.
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 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD
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
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Proven experience working as an AI architect, data scientist, or related role.
- Strong knowledge of machine learning, deep learning, and natural language processing (NLP) techniques.
- Experience in designing and implementing large-scale AI solutions, including data ingestion, storage, processing, and deployment.
- Solid understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms.
- Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.
- Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.
- Ability to stay updated with the latest advancements in AI technologies, frameworks, and platforms.
- Knowledge of ethical considerations and responsible AI practices is a plus.
- Proficiency in programming languages such as Python, Java, or C++, and familiarity with popular AI libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).
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 176,900.00 to 230,000.00 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.
Tags: Architecture AWS Azure Computer Science Deep Learning Engineering Feature engineering GCP Google Cloud Java Keras Machine Learning Model training NLP PhD Pipelines Python PyTorch Responsible AI TensorFlow
Perks/benefits: Career development Equity Health care Insurance Salary bonus Wellness
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