招聘
Benefits & Perks
•Flexible PTO policy
•Learning and development stipend
•Wellness benefits
•Remote work flexibility
•Top Tier compensation with equity
Required Skills
Python
TensorFlow
PyTorch
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
With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-
The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross-functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high-quality analytics and data science support for our internal partner teams.
This position is in the AI Practices & COE sub-team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time-consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.
Responsibilities include:
The individual in this role will lead the design, development, and implementation of agentic AI systems—autonomous agents capable of reasoning, planning, and executing tasks—to drive enterprise workflow automation and productivity. This position requires end-to-end ownership from ideation through deployment, combining strategic program leadership, technical depth, and cross-functional collaboration
- Own the AI transformation roadmap for workflow automation, ensuring that agentic AI initiatives align with business objectives and deliver measurable outcomes.
- Lead discovery and design efforts by mapping business processes, identifying high-value automation opportunities, and defining agent roles, capabilities, and governance guardrails.
- Develop and prototype solutions by building proof-of-concepts that leverage large language models (LLMs), agent frameworks, and workflow orchestration tools.
- Provide technical oversight by reviewing code and prompts, guiding system design decisions, and defining evaluation methodologies and performance benchmarks.
- Drive program execution by managing sprints, milestones, budgets, and stakeholder engagement across cross-functional teams.
- Partner with business leaders to translate operational challenges into scalable AI solutions and quantify the ROI of automation initiatives.
- Collaborate with multidisciplinary teams—including AI engineers, data scientists, UX, and operations—to deliver impactful outcomes.
- Lead organizational adoption of AI tools and processes through Centers of Excellence or transformation programs.
- Oversee integration and deployment by ensuring seamless connectivity between AI agents and enterprise systems through APIs, data pipelines, and workflow platforms.
- Ensure governance and risk management by enforcing standards for security, privacy, compliance, and ethical AI practices.
- Measure and iterate on outcomes by defining and tracking KPIs for productivity, performance, quality, and adoption, driving continuous improvement and scalability.
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:
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
- 5–8+ years in product/program management with direct AI solution delivery; Experience deploying Agentic AI solutions
- Hands-on Technical experience: At least 3–5 years coding, prototyping, and deploying AI/ML solutions
- Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field
- Proven track record implementing automation in enterprise contexts
- Supplementary certifications in AI product management, cloud platforms, or project/program management (e.g., PMP, Agile/Scrum) are advantageous.
Technical Skills:
- AI/ML Frameworks: Tensor Flow, Py Torch, scikit-learn, Hugging Face.
- Agentic AI: Lang Chain, Llama Index, or similar orchestration frameworks.
- Data Engineering: SQL, Spark, Databricks, Airflow, Kafka, ETL/ELT.
- Programming: Python (primary), plus Java, Scala, or R familiarity.
- Cloud & MLOps: CI/CD, model monitoring, retraining, Docker, Kubernetes.
Additional Information
Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.
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 this position is 219,100 to 350,800 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.
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About Visa
Reviews
2.0
3 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.2
Career
1.8
Management
1.3
10%
Recommend to a Friend
Pros
Active recruiting for senior positions
Work authorization support for spouses
Opportunity to seek external roles
Cons
Toxic work environment
Below-market compensation offers
Poor management and leadership
Salary Ranges
23 data points
Principal/L7
Staff/L6
Principal/L7 · Chief Security Architect
1 reports
$282,838
total / year
Base
$217,568
Stock
-
Bonus
-
$282,838
$282,838
Interview Experience
4 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Online Assessment
3
Phone Screen
4
Technical Interview Rounds
5
Final Round Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
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