Lead Solutions Architect - GenAI

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

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 AIFirst Innovation team, you will help define and deliver transformative intelligencedriven products that unlock new payment experiences, new business flows, and new capabilities across Visa's ecosystem.

We are seeking aversatile, curious, and impactdriven Lead Solutions Architectwho thrives at the intersection of AI, distributed systems, and largescale customer impact. In this role, you will lead the execution of nextgeneration AIpowered 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.

*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 realtime commerce platforms.

*Lead the experimentation pipeline, evaluating new technologies, model types, LLMbased features, and platform capabilities-and guiding teams through proofofconcepts, pilots, and scaled launches.

*Implement innovationsfor AInative capabilities that touch 40% of the world's population, setting new standards for scalability, security, explainability, and reusability.

*Drive crossfunctional collaboration, ensuring model developers, 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 nextgeneration AI ecosystem, leveraging cloudnative and modern AI/ML technologies to build robust, privacypreserving, 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.

* Provide deeptechnical leadershipacross AI, data platforms, and largescale 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 torecommend architectures, model integration patterns, and scalable design strategies.

* Establish and maintainstandards for responsible AI, including data quality, model testing, explainability, observability, and endtoend governance.

* Lead planning and implementation fornew AI capabilities and intelligent features, ensuring seamless integration into Visa's global platforms and customer experiences.

* Analyze performance patterns, customer signals, and the model behavior to implement systemic improvements and long term product enhancements.

*AIfirst 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 highlydistributed 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 realtime data systems.

*Experience shipping modern productswith a focus on scalability, reliability, and measurable customer value.

*Continuous learning mindset, staying current with emerging AI technologies, MLOps patterns, and modelbased product architectures.

*Strong crossfunctional collaboration, working closely with Product, Engineering, Data Science, UX, DevOps, and Agile/Scrum teams.

This is a hybrid position. Onsite expectations will be confirmed by your hiring manager.

Qualifications

• 12 or more years of work experience with a Bachelor's Degree or at least 10 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 8 years of work experience with a PhD
  

• 15 or more years of work experience with a Bachelor's Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6 years of work experience with a PhD.
• 10+ years of experiencein solutions architecture, platform engineering, technical product leadership, or systems design roles, withdirect ownership of large-scale, customer-facing platforms.
• 5+ years of hands-on experience designing and deploying AI/ML-powered systems, including model integration into production services (e.g., fraud detection, risk scoring, personalization, decisioning systems, or real-time intelligence platforms).
• Proven experienceleading architecture and delivery of distributed, cloud-native systemsat global scale, including high-throughput, low-latency environments.
• Strong background inAI platform architecture, including one or more of the following:
  • LLM-enabled applications (prompting, orchestration, retrieval-augmented generation)
  • Feature stores, model serving, or inference pipelines
  • Real-time data processing and streaming architectures
• Demonstrated expertise withcloud platforms(AWS, Azure, or GCP), including:
  • Kubernetes-based deployment models
  • Service mesh, observability, and reliability patterns
  • Secure, multi-region, highly available architectures
• Experience establishing or influencingResponsible AI and governance practices, including data quality standards, model validation, explainability, bias evaluation, monitoring, and auditability.
• Strong understanding ofMLOps and production AI lifecycle management, including CI/CD for models, model versioning, automated testing, performance monitoring, and rollback strategies.
• Prior experience inregulated or high-trust domains(payments, fintech, banking, healthcare, identity, or security-sensitive platforms) is strongly preferred.
• Track record ofleading cross-functional technical initiatives, influencing senior engineering, data science, and product leaders without direct authority.
• Experience mentoring senior engineers, architects, or data scientists, and contributing totechnical standards, design reviews, or internal enablement.

U.S. Applicants Only

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer