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Visa · 2 months ago

AI Automation Analyst

Foster City, CA

Full-time

Hybrid

Entry, Mid Level

$137K/yr - $194K/yr

2+ years exp

Visa is a world leader in payments and technology, and they are seeking an AI Automation Analyst to join their AI Products & Analytics team. This role focuses on designing and implementing AI workflows to optimize operations and automate processes, driving measurable business value across the enterprise.

BankingFinanceFinancial ServicesInformation TechnologyMobile PaymentsPayments

Comp. & Benefits

No H1B

Responsibilities

Design and implement agentic AI workflows to automate multi-step tasks and drive business impact

Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains

Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring

Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations

Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains

Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking

Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices

Stay current on emerging AI frameworks and LLM-based automation, prototyping innovative solutions for rapid adoption

Communicate complex technical concepts clearly to technical and non-technical stakeholders, fostering cross-functional collaboration

Qualification

Agentic AI solutionsMachine learning frameworksProcess automationData engineering skillsPythonCloudMLOps practicesCollaborationCommunication

Required

2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Experience deploying Agentic AI solutions

2+ years of hands-on work experience with process/workflow automation

Strong technical proficiency in machine learning and AI frameworks, including TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers

Solid data engineering skills, including SQL, Spark, Databricks, Airflow, Kafka, and ETL/ELT pipeline development

Proficiency in Python (primary) and familiarity with Java, Scala, or R

Experience with cloud and MLOps practices, including CI/CD, model monitoring, retraining pipelines, and containerization (Docker, Kubernetes)

Permanent Authorization to work in the U.S. is a precondition of employment for this position

Preferred

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)

Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field

Experience with agentic AI and orchestration tools such as LangChain, LlamaIndex, or similar frameworks for multi-step task automation