Description
Shape the Future of Enterprise AI at Scale
We are looking for a seasoned Senior Staff Fullstack Engineer (Sr. Consultant title at Visa) to join our Corporate Generative AI Technologies team. In this role, you will help architect, build, and scale enterprise-grade Generative AI and agentic applications.
You will work on platforms and applications that use AI-native application patterns, including large language models, agentic workflows, retrieval-augmented generation, tool orchestration, API integrations, ETL pipelines, and data systems to transform business processes into intelligent, reliable, and scalable workflows.
As a Senior Consultant (Staff Software Architect), you will operate with a high degree of autonomy, ownership, and technical judgment while collaborating closely with your manager and the broader engineering team to align on technical direction.
Key Responsibilities:
- Design, build, and scale enterprise-grade GenAI and agentic applications, with a strong focus on maintainable, secure, scalable, reliable, and production-ready architecture.
- Own architecture and delivery of major GenAI subsystems; lead design reviews; mentor I4/I5 engineers; define reusable patterns and production standards.
- Apply strong system design judgment to build full-stack, production-grade applications with robust API design, workflow orchestration, secure data flows, observability, and operational readiness.
- Build modern frontend experiences using React and established frontend patterns.
- Design and implement scalable backend services using Python, Node.js, and/or Java.
- Work with databases like PostgreSQL, Redis, vector databases, and related technologies.
- Implement backend capabilities for AI-enabled and agentic workflow automation.
- Develop AI-native capabilities using OpenAI, Anthropic, and related LLM APIs/SDKs.
- Apply deep knowledge of modern LLM capabilities to make informed engineering decisions.
- Design and implement retrieval-augmented generation solutions.
- Build and deploy cloud-native applications using containers, DevOps practices, CI/CD pipelines, automated testing, monitoring, and operational automation.
- Work closely with engineering teammates and cross-functional partners to align with team priorities.
- Implement observability and operational excellence for GenAI applications.
Technical Skills:
- Languages & Frameworks: Python, FastAPI, LangGraph
- Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes, ECS
- DevOps: Git, CI/CD pipelines
- Anthropic / OpenAI SDKs, MCP, A2A
- Databases & Storage: Pinecone, Redis, PostgreSQL
- Monitoring & Governance: Prometheus, Grafana, audit logging, access control
- Frontend: ReactJS, HTML, CSS, JavaScript
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications:
Basic Qualifications:
- 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree.
- At least 8 years of experience designing, building, and operating complex distributed software systems in production environments.
- Strong background in software architecture, distributed systems, API design, cloud-native platforms, and data-intensive applications.
- Experience with cloud platforms, containerized environments, CI/CD systems, and observability tooling.
- Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages.
- Strong communication skills with the ability to translate complex technical concepts to business stakeholders.
- Experience driving technical strategy and influencing architectural direction across organizations.
- Expertise in system design tradeoffs involving scalability, security, reliability, performance, cost, and developer productivity.
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.
- Experience building AI-enabled, data-driven, workflow automation, search, conversational, or machine learning-powered applications.
- Direct experience with Generative AI technologies, LLMs, RAG architectures, or agentic systems.
- Deep understanding of modern LLM ecosystems, agent frameworks, retrieval architectures, and enterprise AI deployment patterns.
- Familiarity with modern AI architectures including agentic workflows, memory systems, tool orchestration, MCP, and A2A frameworks.
- Proven ability to lead cross-functional AI initiatives.
Information for US Applicants:
For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year.
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.