Full Stack Software Architect (Sr. Consultant), Generative AI

Role details

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Shape the Future of Enterprise AI at Scale 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. 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 (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. Preferred Qualifications: 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, reliabi