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

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 178,400.00 to 258,750.00 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.

Average salary estimate

$218575 / YEARLY (est.)
min
max
$178400K
$258750K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Lead System Architect (AI/Machine Learning) (Hybrid/Onsite), Visa

Are you an innovative thinker passionate about AI and machine learning? If so, Visa has an exciting opportunity for you as a Lead System Architect in our Foster City, CA office. In this role, you’ll be at the forefront of transforming our operational framework with cutting-edge technology. You’ll design and implement robust architectures that utilize AI and machine learning to streamline processes and enhance our products. Collaborating with cross-functional teams, you’ll be responsible for developing solutions that anticipate future challenges and directly improve user experience. You’ll need to be adaptable, as your travel may take you to varied locations around 5-10% of the time. We’re looking for someone with strong expertise in system architecture and experience in deploying machine learning algorithms in production environments. Not only will you play a key role in innovating systems, but you’ll also have a chance to mentor junior engineers, fostering their growth as they contribute to groundbreaking projects. Working here means being part of a collaborative team that values diversity and inclusivity, ensuring that your ideas and creativity thrive. Let’s build the future of payment technology together!

Frequently Asked Questions (FAQs) for Lead System Architect (AI/Machine Learning) (Hybrid/Onsite) Role at Visa
What are the primary responsibilities of a Lead System Architect at Visa?

As a Lead System Architect at Visa, you will oversee the design and implementation of advanced system architectures, focusing on AI and machine learning applications. Your key responsibilities will involve collaborating with various teams to innovate and optimize processes, ensuring seamless integration of technologies, and mentoring junior engineers to nurture their skills.

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What qualifications do I need to apply for the Lead System Architect position at Visa?

To apply for the Lead System Architect position at Visa, you should possess a strong background in system architecture with a focus on AI and machine learning. A Bachelor's degree in Computer Science or a related field is typically required, along with proficient knowledge of data structures, algorithms, and software development practices. Relevant work experience, especially in designing scalable systems, is essential.

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Is travel required for the Lead System Architect position at Visa?

Yes, the Lead System Architect position at Visa does involve some travel, approximately 5-10% of the time. This travel may be necessary for meetings, workshops, or collaboration with other teams located in different regions, enhancing the overall work experience.

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What benefits does Visa offer to Lead System Architects?

At Visa, Lead System Architects enjoy a comprehensive benefits package, which may include medical, dental, and vision insurance, a 401(k) plan, and flexible spending accounts (FSA/HSA). Additionally, there are opportunities for bonuses and equity, as well as paid time off and wellness programs to support work-life balance.

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What is the salary range for the Lead System Architect role at Visa?

The estimated salary range for the Lead System Architect position at Visa is between $178,400 and $258,750 per year, depending on various factors such as experience, skills, and location. This role may also include potential sales incentive payments and is eligible for bonuses and equity.

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Common Interview Questions for Lead System Architect (AI/Machine Learning) (Hybrid/Onsite)
Can you describe a successful architecture project you’ve led?

When answering this question, highlight your role in the project by discussing the project’s scope, how you approached challenges, and the successful outcomes. Focus on your leadership in coordinating teams, designing scalable solutions, and utilizing AI or machine learning technologies effectively.

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How do you ensure that system architecture meets business requirements?

Discuss your approach to understanding business needs by communicating with stakeholders. Explain how you translate those requirements into technical specifications and maintain flexibility to adapt architectures as project goals evolve.

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What are the key considerations when implementing AI solutions into a system architecture?

Key considerations include assessing data quality, ensuring scalability, evaluating ethical implications, and understanding compliance requirements. Discuss your experience in addressing these areas and implementing robust AI frameworks.

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How do you stay current with advancements in AI and machine learning?

Highlight your commitment to continuous learning through various methods such as attending industry conferences, participating in webinars, reading technical journals, and engaging with online communities of professionals in AI and machine learning.

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How do you handle team disagreements during architectural discussions?

Emphasize your approach to fostering open dialogue and actively listening to all viewpoints. Discuss the importance of constructive feedback and how you seek to find common ground while ensuring the best solution for the project.

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Can you explain your experience with cloud technologies as they relate to system architecture?

Discuss your hands-on experience with cloud providers like AWS, Azure, or Google Cloud, and touch on how you have leveraged these technologies in past projects to enhance system performance and scalability.

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What metrics do you use to evaluate the performance of a system architecture?

Talk about various performance metrics you consider crucial, such as system uptime, response time, resource utilization, and user satisfaction. Provide examples of how you have used these metrics to drive improvements in past projects.

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How do you facilitate collaboration among cross-functional teams?

Share your strategies for promoting collaboration, such as regular check-ins, clear communication channels, and utilizing collaborative tools. Emphasize the importance of building relationships with team members from different disciplines to foster a united project vision.

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What role do you see AI playing in the future of system architecture?

Discuss the transformative potential of AI in automating design, enhancing decision-making, and improving operational efficiency. Illustrate your vision of integrating AI technology into architectural practices for innovative solutions.

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What is your process for documenting system architecture designs?

Explain your method for creating thorough documentation, including maintaining clear diagrams, up-to-date specifications, and comprehensive guidelines. Discuss how this documentation serves to aid knowledge transfer within teams and supports ongoing maintenance.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
January 4, 2025

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