The Opportunity
We are seeking a seasoned Fullstack Software Engineer with experience building GenAI-enabled applications. We're looking for someone who is both a hands-on full-stack engineer and a team leader capable of designing, developing, and deploying GenAI-powered applications. You will mentor an engineering team while delivering scalable AI systems that integrate with Visa's product ecosystem, developer platforms, and internal operational tools.
This role blends architecture, leadership, full-stack development, cloud engineering, and GenAI frameworks.
The Work
- Global Operations holds the responsibility of ensuring Visa's diverse portfolio of commercial services are performing optimally, meeting stringent availability targets and exceeding our clients' expectations.
- By architecting automation and GenAI into our operational DNA, and deeply embedding AIOps into our strategic foundation, Global Operations, the engine room of production operations, is well positioned to think big, act quickly and innovate with intention.
- Working with highly integrated, high-throughput systems, an equally important must be placed on robust observability, intelligent event detection and incident management.
- Global Operations sets the operational standards to support the business demands of today and the operational needs of tomorrow as technologies continue to evolve and adjust the way we work to support the business.
- Through blame free post-mortems, intellectual curiosity and problem solving we turn reactive into proactive and create an environment that provides the support and mentorship for our team members to learn and grow.
The Skills You Bring
GenAI Architecture & Framework Development
- LangGraph, LangChain, Haystack, or similar agent frameworks
- AWS GenAI services (Bedrock, SageMaker, \"Strands\"-style agent pipelines, embeddings, vector stores)
- RAG architectures, custom LLM orchestration, model evaluation, LLMOps workflows
- Build reusable GenAI components, SDKs, pipelines, and abstraction layers for engineering teams.
Define best practices for:
- Prompt engineering and evaluation
- LLM safety, guardrails, and content filtering
- Embedding generation and vector database integrations
- Model lifecycle governance and deployment optimization
- FullStack Engineering (Hands‑on Development)
Develop end-to-end AI applications using:
- Backend: Python, FastAPI, Flask, Node.js
- Frontend: React + TypeScript, UI component frameworks, REST/GraphQL integration
- Build secure APIs, microservices, event-driven components, and backend integrations for AI systems.
- Design intuitive, responsive, production-grade user interfaces for GenAI-powered tools.
- Data Pipelines & CI/CD Engineering
Design and build data workflows supporting AI systems, including:
- ETL/ELT pipelines
- Data preparation for LLM training/fine-tuning
- Embedding pipelines and retrieval data stores
Implement CI/CD automation leveraging:
- Jenkins, GitHub/Bitbucket, Jira, Wiki, GitHub Actions, CodePipeline, Artifactory or similar systems
- Automated testing, containerization, deployment, quality gates
- Infrastructure-as-code (CloudFormation, Terraform)
- Ensure automated monitoring, logging, observability, and rollback strategies.
- Governance, Security & Responsible AI
Apply Visa's standards for:
- Model explainability
- Data governance and redaction
- Security boundaries, access control, encryption
- Responsible AI guidelines and compliance expectations
- Work with cybersecurity teams to ensure secure production deployments.
Hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office.
Qualifications
Basic Qualifications
- 8+ years of relevant work experience with a Bachelor's Degree; or 5+ years of experience with an Advanced Degree; or 2 years of work experience with a PhD; or 11+ years of relevant work experience.
Preferred Qualifications
- 9 or more years of relevant work experience with a Bachelor's Degree; or 7 or more relevant years of experience with an Advanced Degree; or 3 or more years of experience with a PhD.
- Bachelor's or Master's in Computer Science, Engineering, AI/ML, or related field.
- 8+ years of software engineering experience; 2+ years leading or mentoring engineers.
- Worked with Agile SDLC process and SAFE agile environment in distributed teams.
- Hands‑on experience with LLM frameworks (LangGraph, LangChain, Haystack, AWS Bedrock GenAI tools).
- Python backend development (FastAPI strongly preferred).
- Frontend development (React + TypeScript).
- Vector databases (FAISS, Pinecone, Weaviate, OpenSearch, etc.).
- Agile frameworks like SAFE, GitHub/Bitbucket, Jira, ServiceNow, Wiki, CI/CD automation pipelines involving Jenkins.
- Proven experience shipping products on AWS (Lambda, ECS/EKS, S3, API Gateway, Bedrock, SageMaker).
- Strong understanding of distributed systems, microservices, and API design.
- Experience implementing RAG at scale using internal or cloud-based vector stores.
- Experience with Databricks/Spark pipelines, MLFlow, or modern MLOps tools.
- Familiarity with event‑driven messaging systems (Kafka, Kinesis).
- Background in payments, risk, fraud analytics, or regulated financial systems.
- Experience creating developer tooling or reusable frameworks for broader engineering teams.
- Soft Skills
- Excellent communication, ability to simplify complex AI concepts.
- Leadership presence with hands‑on technical credibility.
- Ability to collaborate in a matrixed global organization.
- Passion for innovation and continuous exploration of emerging GenAI capabilities.
We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa.
Compensation
The estimated salary range for this position is $152,200.00 to $243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary based on job-related factors such as knowledge, skills, experience, and location. This position may also be eligible for bonus and equity. Visa has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
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, and frequently operate standard office equipment such as telephones and computers.
Legal Notice
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 the EEOC guidelines and applicable local law.