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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Software Architect (Sr. Consultant), Generative AI - **Company:** Visa Inc. - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $173,100.0 - $276,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, Architectural Patterns, Big Data, Mobile Application Development, Code Review, Continuous Integration, Decision Support Systems, Software Design Patterns, Distributed Systems, Memory Management, Python (Programming Language), Machine Learning, Node.Js, Software Architecture, Software Deployment, Software Engineering, Software Systems, Strategies of Testing, Workflow Management Systems, Datadog, Cloud Platform System, ReactJS, Large Language Models, Multi-Agent Systems, Generative AI, Backend, Containerization, AI Platforms, Infrastructure Automation Frameworks, Low Latency, Data Analytics, Api Design - **Published:** September 2, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18163943?backUrl=%2Fcareer%2F18163943%2FFull-Stack-Software-Architect-Sr-Consultant-Generative-Ai-Washington-Bellevue ## About the Role * 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 without a 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., * Experience building AI-enabled, data-driven, workflow automation, search, conversational, or machine learning-powered applications is highly valued. * Direct experience with Generative AI technologies, LLMs, RAG architectures, or agentic systems is preferred but not required for candidates with exceptional software architecture and distributed systems experience. * Experience driving technical strategy and influencing architectural direction across organizations. * Expertise in system design tradeoffs involving scalability, security, reliability, performance, cost, and developer productivity. * 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 ## Description We are seeking an experienced Software Architect to help define and build the next generation of enterprise AI systems across Visa. While experience with Generative AI technologies is valuable, we are equally interested in accomplished software architects and senior engineers who have designed and operated large-scale production systems and are excited to apply their expertise to emerging AI technologies. Our team provides an environment where strong engineering leaders can rapidly grow their AI domain knowledge while solving complex business problems. You will help establish the technical foundation for enterprise-scale AI platforms and applications that transform complex business processes into intelligent, automated workflows. Working within our Corporate Generative AI Technologies team, you will design and deliver AI-native systems that leverage large language models, agentic architectures, retrieval-augmented generation (RAG), workflow orchestration, enterprise integrations, and modern cloud-native platforms. This role goes beyond application development. You will help define architectural patterns, influence engineering strategy, establish technical standards, and solve some of the most challenging problems in enterprise AI, including: * Architecting multi-agent systems and intelligent workflow automation * Designing human-in-the-loop AI systems with governance and auditability * Building trustworthy, observable, and secure AI platforms for enterprise adoption * Balancing model capability, latency, reliability, cost, and operational scale * Creating reusable frameworks and patterns that accelerate AI innovation across the organization What You'll Do * Own the architecture and technical strategy for large-scale GenAI and agentic platforms that support critical business workflows. * Drive architectural decisions across application, data, integration, security, and infrastructure domains. * Establish reference architectures, reusable design patterns, and engineering standards for AI-native application development. * Lead technical design reviews and provide architectural guidance across multiple initiatives. Build Intelligent Enterprise Platforms * Design and implement AI-powered systems leveraging LLMs, agent orchestration, retrieval frameworks, and enterprise integration patterns. * Architect scalable solutions that balance performance, quality, cost efficiency, governance, and operational excellence. * Develop resilient platforms for workflow automation, knowledge retrieval, decision support, and conversational experiences. * Create reusable frameworks and platform capabilities that enable rapid development of future AI solutions. Advance Agentic and AI-Native Architectures: * Define approaches for multi-agent collaboration, tool orchestration, memory management, workflow execution, and state management. * Architect systems that integrate AI reasoning with enterprise services, APIs, and business processes. * Evaluate and apply emerging technologies, frameworks, and protocols across the AI ecosystem. * Drive adoption of modern patterns for prompt engineering, model routing, tool calling, evaluation, and governance. Deliver Production-Grade Engineering Excellence * Ensure systems are designed for scalability, security, reliability, observability, and maintainability from day one. * Architect end-to-end telemetry, tracing, evaluation, and monitoring strategies for AI-enabled systems. * Guide cloud-native deployments using containers, CI/CD pipelines, infrastructure automation, and operational best practices. * Champion engineering quality through code reviews, testing strategies, and operational readiness standards. * Partner with cross-functional stakeholders to translate ambiguous business opportunities into scalable technical solutions. * Drive alignment on architecture, technology direction, and long-term platform strategy. * Serve as a trusted technical advisor for enterprise AI initiatives. Visarequiresat least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. ## Related Videos - [Stop using Node.js like in 2020! 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