Visa Inc, Logo

Visa Inc,

Lead AI Engineer

Posted 18 Days Ago
Be an Early Applicant
In-Office
Foster City, CA
215K-312K Annually
Expert/Leader
In-Office
Foster City, CA
215K-312K Annually
Expert/Leader
Lead a team to develop and optimize AI and machine learning solutions, ensuring system performance, reliability, and security. Collaborate with cross-functional teams to deliver robust applications.
The summary above was generated by AI
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

Visa AI as a Service (VAIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud-native platforms, VAIaS automates the updates to data, models, and applications. Combined with strong AI governance, VAIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as a Service is an ideal place for you!

Essential Functions:

  • Lead and mentor a team of engineers focused on developing advanced AI and machine learning solutions.

  • Design, implement, and optimize low latency and high throughput systems that are highly available and scalable.

  • Drive architecture decisions and best practices for deploying machine learning models into production environments.

  • Collaborate with data scientists, engineers, and product managers to deliver robust AI-powered applications.

  • Ensure systems are monitored and maintained for performance, reliability, and security.

  • Utilize orchestration tools such as Kubernetes and Nomad for container management and deployment.

  • Work with fast data stores and high-performance messaging systems, including Rust.

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

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

  • Extensive hands-on experience building and deploying machine learning applications in production environments.
  • Strong programming skills with a focus on Rust and experience with high frequency trading, level low latency communication technology.
  • Proven track record of leading or driving engineering teams to successful project delivery with Generative AI.
  • Solid understanding of system design for low latency, high throughput, and highly available applications.
  • Experience with container orchestration tools such as Kubernetes and Nomad.
  • Expertise in monitoring and maintaining production systems for reliability and performance.
  • Familiarity with fast data stores and distributed systems architecture.
  • Knowledge of additional orchestration and monitoring tools.
  • Contributions to open-source projects or published work in machine learning or distributed systems.
  • Familiarity with cloud computing platforms.

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 $215,300.00 to $312,300.00 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.

Top Skills

AI
Cloud Computing
Kubernetes
Machine Learning
Nomad
Rust
HQ

Visa Inc, San Francisco, California, USA Office

Foster City is a world-class spot for windsurfing and kite-surfing. Look out over the water from Visa's offices to see those bright colors flutter and soar. Our offices provide Electric Vehicle Charging Stations, fitness center, lactation rooms, shuttles, cafeteria, free parking and more!

Visa Inc, San Francisco, California, USA Office

Visa's San Francisco office has a stunning view of the San Francisco Bay, the Bay Bridge, and the Ferry Building. Whether it is more beautiful at night than during the day depends on the fog. Our offices offer free parking, rooftop deck, easy access to shops & food courts, shuttle services and more!

Similar Jobs

6 Days Ago
Hybrid
Milpitas, CA, USA
189K-351K Annually
Senior level
189K-351K Annually
Senior level
Cloud • Software
Lead the technical integration of Cisco's product lines with AI Canvas, develop APIs, and improve the developer experience through platform architecture and collaboration with teams.
Top Skills: AIAutogenCi/CdDockerGoGraphQLKubernetesLangchainLlamaindexMlPythonReactRestSemantic KernelTypescript
Yesterday
Hybrid
5 Locations
225K-281K Annually
Senior level
225K-281K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Lead AI Engineer will build AI systems to enhance banking practices, collaborating with diverse teams on AI product development.
Top Skills: AWSAzureGoGCPHuggingfaceJavaNemo GuardrailsPythonPyTorchScalaUltraclusersVectordbs
Yesterday
Hybrid
4 Locations
225K-281K Annually
Senior level
225K-281K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Lead AI Engineer at Capital One will design, deploy, and support AI systems, working with cross-functional teams to innovate and enhance customer interactions while ensuring scalability and performance.
Top Skills: AWSAzureGoGCPHuggingfaceJavaNemo GuardrailsPythonPyTorchScalaVectordbs

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account