Job DescriptionVisa's Technology organization is a global community of innovators solving some of the most complex challenges in commerce. We operate one of the world's largest and most sophisticated payment networks, processing more than 65,000 secure transactions per second across 80M+ merchants, 15,000 financial institutions, and billions of consumers worldwide.
Joining Visa means working on highly distributed, large-scale systems that power the future of payments, data solutions, cybersecurity, AI, and next-generation customer experiences.
The Opportunity:Global Operations is at the heart of Visa's production ecosystem, ensuring our critical services operate with exceptional reliability, availability, and performance for clients around the world.
As we accelerate our adoption of Automation, Generative AI, and AIOps, we're transforming how operational excellence is delivered at scale. This team is responsible for building intelligent, resilient, and future-ready operational capabilities across Visa's technology landscape.
In this role, you will:- Help shape the future of AI-driven operations for one of the world's largest payment platforms.
- Build and scale intelligent automation, observability, and operational solutions for highly integrated, high-throughput systems.
- Leverage GenAI and AIOps to improve incident detection, response, and system reliability.
- Collaborate with world-class engineers to solve complex technical challenges at global scale.
- Contribute to a culture that values innovation, continuous learning, blameless postmortems, and proactive problem solving.
What You'll DoGenerative AI Platform Engineering- Design and build reusable GenAI platforms, SDKs, pipelines, and shared frameworks that accelerate AI adoption across engineering teams.
- Develop solutions using agent frameworks such as LangGraph, LangChain, Haystack, or similar technologies.
- Implement modern AI architectures leveraging AWS services including Bedrock, SageMaker, embeddings, vector databases, and agentic workflows.
- Design and optimize Retrieval-Augmented Generation (RAG) architectures, LLM orchestration layers, evaluation frameworks, and LLMOps processes.
Full-Stack AI Application Development- Design and develop production-ready AI applications using:
- Backend: Python, FastAPI, Flask, Node.js, Kafka
- Frontend: React, TypeScript, and REST/GraphQL integrations
- Build secure APIs, microservices, event-driven architectures, and enterprise integrations.
- Create intuitive, scalable user experiences for AI-powered products and platforms.
- Implement CI/CD automation using tools such as GitHub Actions, Jenkins, Bitbucket, Jira, ServiceNow, and Artifactory.
- Apply containerization, automated testing, infrastructure-as-code (Terraform, CloudFormation), and deployment best practices.
- Ensure robust monitoring, logging, observability, and recovery strategies are built into every solution. Partner closely with cybersecurity teams to deliver secure, enterprise-grade AI solutions in production.
Why Join Visa?You'll have the opportunity to build AI solutions that operate at global scale, influence the future of operational excellence at Visa, and work alongside talented engineers who are redefining what's possible with Generative AI, Automation, and AIOps.
We recognize that great candidates bring diverse experiences and perspectives. If you're excited about this opportunity but don't meet every qualification listed, we still encourage you to apply.
Hybrid Work Model: Visa requires at least 3 days in office; expectations of these days will be confirmed by your Hiring Manager.
QualificationsBasic Qualifications:- 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Preferred Qualifications:- 2-5 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)
- Bachelor's or Master's in Computer Science, Engineering, AI/ML, or related field.
- Experience working within Agile development environments, including SAFe and globally distributed teams
- Technical Experience
- Generative AI frameworks and tools such as LangGraph, LangChain, Haystack, AWS Bedrock, or similar platforms.
- Backend development using Python, with FastAPI strongly preferred.
- Frontend development using React and TypeScript.
- Event-driven architectures and messaging technologies such as Kafka/MQ/SQS
- Vector databases and retrieval technologies such as FAISS, Pinecone, Weaviate, OpenSearch, or similar solutions.
- CI/CD automation and developer platforms, including GitHub, Bitbucket, Jira, Jenkins, ServiceNow, and related tooling.
- Experience in one or more of the following areas is highly desirable:
- Distributed systems, microservices architecture, and API design.
- Retrieval-Augmented Generation (RAG) implementations at scale using cloud-based or enterprise vector stores.
- Building and deploying solutions on AWS, including Lambda, ECS/EKS, S3, API Gateway, Bedrock, and SageMaker.
- Event-driven architectures and messaging technologies such as Kafka or Kinesis.
- Developing reusable platforms, frameworks, or developer tools that accelerate adoption across engineering teams.
- Payments, financial services, risk management, fraud analytics, or other highly regulated industries.
Information for US ApplicantsFor roles located in the US, the estimated salary range for this position is $110,700.00 to $ 171,800.00 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.
Work HoursVaries upon the needs of the department.
Travel RequirementsThis position requires travel 5-10% of the time.
Mental/Physical RequirementsThis 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.
