Senior GenAI Architect — Enterprise Scale

Visa; Bellevue (WA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Visa is seeking a Senior Software Architect to join the Corporate Generative AI Technologies team. You will architect, build, and scale enterprise-grade GenAI and agentic applications with strong system design judgment and end-to-end ownership.

The role requires hands-on engineering across full-stack platforms and collaboration with cross-functional partners to deliver secure, scalable AI-enabled automation.

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 11+ years of relevant work experience.
• Strong background in software architecture, design, and operating complex distributed software systems in production environments.

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, including component-based architecture, state management, reusable UI components, accessibility, performance optimization, and seamless integration with backend APIs and AI-enabled services.
• Design and implement scalable backend services using Python, Node.js, and/or Java, including secure APIs, asynchronous processing, background jobs, authentication, authorization, logging, error handling, and system resiliency.
• Work with databases like PostgreSQL, Redis, vector databases, and related technologies, including schema design, indexing strategies, query optimization, transaction management, caching patterns, migrations, and data access patterns.
• Implement backend capabilities for AI-enabled and agentic workflow automation, including intent routing, agent orchestration, tool execution, API integrations, data retrieval, multi-step execution, workflow state management, human approval flows, guardrails, auditability, and enterprise system integration.
• Develop AI-native capabilities using OpenAI, Anthropic, and related LLM APIs/SDKs, including prompt orchestration, tool/function calling, structured outputs, streaming responses, model routing, and evaluation patterns.
• Apply deep knowledge of modern LLM capabilities to make informed engineering decisions around model selection, context management, latency, cost, reliability, output quality, safety, and user experience.
• Design and implement retrieval-augmented generation solutions, including ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and retrieval quality evaluation.
• 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, translate ambiguous requirements into proof-of-concepts, then evolve them into production-quality solutions through shared ownership and hands-on collaboration.
• Implement observability and operational excellence for GenAI applications, including end-to-end tracing, workflow telemetry, model evaluation, and monitoring to ensure secure, reliable, and production-ready AI systems.

Skills

Software architecture

Full-stack engineering

React

Python

Node.js

Java

LLM AI

DevOps

Cloud

Education

Bachelor's Degree

Advanced Degree

PhD

Tools

PostgreSQL

Redis

Pinecone

Prometheus

Grafana

LangGraph

Docker

Kubernetes

Job description

Visa is seeking a Senior Software Architect to join the Corporate Generative AI Technologies team. You will architect, build, and scale enterprise-grade GenAI and agentic applications with strong system design judgment and end-to-end ownership.

The role requires hands-on engineering across full-stack platforms and collaboration with cross-functional partners to deliver secure, scalable AI-enabled automation.