Company DescriptionVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world.
Progress starts with you.
Job DescriptionAt Visa, AI is central to our vision for the future of payments and commerce. We are committed to building enterprise-scale, responsible AI solutions that deliver measurable value for our clients, partners, and the global economy. The AI Center of Excellence (AI COE), part of the Global Data Office, is at the forefront of this mission-developing reusable AI/ML frameworks, enabling agentic AI workflows, and accelerating innovation across Visa's data science community.
The AI COE operates as both an enterprise capability builder and an AI SWAT team, tackling high-impact projects that address complex business challenges and create scalable, reusable solutions. From evaluating cutting-edge AI methods to deploying reusable frameworks in production, our mission is to improve efficiency, adoption, and business outcomes across Visa's global Data & AI ecosystem.
We are seeking an AI COE Analyst to contribute to technically complex AI initiatives-from research and prototyping through deployment-while advancing reusable AI capabilities and accelerating adoption across Visa.
Responsibilities:The AI COE Analyst will:- Design, develop, and deploy advanced AI/ML methods and agentic AI workflows that address high-value challenges across Visa.
- Contribute to the creation of reusable AI frameworks, components, and internal open-source assets for enterprise-wide adoption.
- Evaluate emerging AI/ML techniques, benchmark performance, and validate business impact using real Visa datasets and use cases.
Support the end-to-end delivery of AI COE projects, including:- Identifying and refining problem statements with stakeholders
- Prototyping advanced models, pipelines, and automation workflows
- Building high-quality, reusable code assets
- Ensuring production readiness and integration with enterprise systems
- Develop technical documentation, metadata, and best practices for validated AI methods.
- Contribute to quality assurance through code reviews, prompt engineering support, model evaluation frameworks, and benchmark design.
- Ensure compliance with governance, security, and Responsible AI standards in all AI COE outputs.
- Quantify and communicate impact using KPIs such as model accuracy, workflow efficiency gains, adoption metrics, and business value delivered.
- Collaborate with data scientists, ML engineers, product teams, and global partners to embed AI COE solutions into enterprise workflows and maximize adoption.
- Stay current on the latest AI frameworks, agentic AI patterns, and LLM ecosystems, rapidly evaluating and prototyping new methods for potential enterprise use.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
This role is not able to support any form of sponsorship now or in the future. (This includes support such as : J-1, F-1, CPT, or OPT and employment-based sponsorship such as: H-1B, H-1B1,E-3, O-1, TN and anycard holders that may need assistance in the future.)QualificationsBasic Qualifications:- 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)
Preferred Qualifications:- 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
- 2+ years of hands-on experience in AI/ML, data science, workflow automation, or applied machine learning research.
- Advanced degree in Computer Science, Data Science, Statistics, Business Analytics, Engineering, or a related quantitative field.
- Demonstrated experience delivering AI/ML models or agentic AI workflows in production or enterprise environments.
- Hands-on expertise with PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, or similar frameworks.
- Experience with agentic AI tooling (e.g., LangChain, LlamaIndex) and multi-step workflow automation.
- Strong data engineering foundations, including Python, SQL, Spark, Databricks, Airflow, Kafka, or ETL/ELT pipelines.
- Familiarity with enterprise data systems, APIs, and MLOps (CI/CD, model monitoring, containerization).
- Ability to translate complex AI concepts into clear, actionable insights for technical and non-technical stakeholders.
- Understanding of AI governance, model evaluation, and Responsible AI practices.
- Experience working cross-functionally in a large, global organization.
Additional InformationWork 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 137,400.00 to 212,500.00 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. 
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