Job DescriptionVisa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.
The Opportunity: We are seeking a Sr. Consultant level Software Engineer who is both a hands-on full-stack engineer and a team leader capable of designing, developing, and deploying GenAI-powered applications. You will manage and 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 As a Visa Lead Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions.
The Work itself: - 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 high importance 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 BringGenAI Architecture & Framework DevelopmentArchitect and deliver GenAI-enabled applications leveraging:
- 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
- Full-Stack 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.
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
QualificationsBasic Qualifications
• 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) 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 Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) 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
U.S. Applicants OnlyThe 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 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.
