Software Engineer, Sr. Consultant Level

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 Overview: Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate one of the world’s most sophisticated global transaction networks—processing more than 65,000 secure transactions per second across 80 million merchants, 15,000 financial institutions, and billions of people worldwide. As part of our AI‑First Innovation team, you will help define and deliver transformative intelligence‑driven products that unlock new payment experiences, new business flows, and new capabilities across Visa’s ecosystem. The Opportunity: We are seeking a versatile, curious, and impact‑driven Sr. Consultant Engineer who thrives at the intersection of AI, distributed systems, and large‑scale customer impact. In this role, you will lead the execution of next‑generation AI‑powered solutions—partnering closely with engineering, data science, design, security, and business stakeholders. You will steward development from ideation to scaled deployment, guiding teams to build intelligent, resilient, and trustworthy systems that serve Visa’s global network. The Work Itself: Translate complex business challenges into clear engineering roadmaps, user requirements, and technical specifications that enable breakthrough innovation across payment flows, fraud intelligence, data products, and real‑time commerce platforms. Lead the experimentation pipeline, evaluating new technologies, model types, LLM‑based features, and platform capabilities—and guiding teams through proof‑of‑concepts, pilots, and scaled launches. Implement innovations for AI‑native capabilities that touch 40% of the world’s population, setting new standards for scalability, security, explainability, and reusability. Drive cross‑functional collaboration, ensuring platform engineers, UX teams, and product partners align on architecture, capabilities, and success metrics. Champion product quality and operational resilience, identifying systemic patterns across data, model performance, bugs, and user friction—and driving durable solutions. Shape Visa’s next‑generation AI ecosystem, leveraging cloud‑native and modern AI/ML technologies to build robust, privacy‑preserving, and globally scalable services. Enable global impact, mentoring teams, developing best practices, and contributing to internal learning programs to elevate Visa’s AI maturity and experimentation culture. Key Responsibility: Provide deep technical leadership across AI, data platforms, and large‑scale distributed systems—directing strategy for how requirements are collected, evaluated, and transformed into decisive product direction. Lead structured discovery with product, engineering, and business stakeholders to recommend architectures, model integration patterns, and scalable design strategies. Establish and maintain standards for responsible AI, including data quality, model testing, explainability, observability, and end‑to‑end governance. Lead planning and implementation for new AI capabilities and intelligent features, ensuring seamless integration into Visa’s global platforms and customer experiences. Analyze performance patterns, customer signals, and model behavior to implement systemic improvements and long‑term product enhancements. The Skills You Bring: AI‑first mindset—curiosity, experimentation, and a passion for applying intelligent technologies to solve global-scale problems. Product leadership with technical depth, including experience driving ML, data, cloud, or highly‑distributed system products. Ability to challenge the status quo, with comfort ideating beyond traditional solutions and guiding teams through ambiguity. Understanding of modern engineering and ML stacks, including familiarity with languages and frameworks such as Python, Java, C++, containers, Kubernetes, LLM APIs, vector databases, and real‑time data systems. Experience shipping modern products with a focus on scalability, reliability, and measurable customer value. Continuous learning mindset, staying current with emerging AI technologies, MLOps patterns, and model‑based product architectures. Strong cross‑functional collaboration, working closely with Product, Engineering, Security, UX, DevOps, and Agile/Scrum teams. 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. Preferred Qualifications: 9 or more years of relevant work experience with a bachelor's 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. Self-driven and willing to work across technologies/languages. Expert-level skills in Python and/or NodeJS with skills in Java or C/C++ is a bonus. Experience in building Generative AI applications, conversational AI, RAG and Multi-Agentic architectures, techniques and libraries. In-depth understanding of NLP including tokenization, word embeddings, and basic sequence models. Ability to design and implement AI components and integrate them into larger systems. Familiarity with common robustness issues in AI systems. Familiarity with deep learn