Lead Solutions Architect jobs in United States
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Visa · 4 hours ago

Lead Solutions Architect

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions, and government entities across more than 200 countries. They are seeking a Lead Solutions Architect to lead the execution of next-generation AI-powered solutions, partnering closely with various stakeholders to build intelligent, resilient, and trustworthy systems that serve Visa’s global network.

BankingFinanceFinancial ServicesInformation TechnologyMobile PaymentsPayments
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

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 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 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
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

Qualification

AI-first mindsetSolutions architectureCloud-native systemsAI platform architectureMLOpsTechnical product leadershipCross-functional collaborationChallenge status quoBackground in AIContinuous learning mindset

Required

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

Preferred

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 experience in solutions architecture, platform engineering, technical product leadership, or systems design roles, with direct 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 experience leading architecture and delivery of distributed, cloud-native systems at global scale, including high-throughput, low-latency environments
Strong background in AI 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 with cloud 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 influencing Responsible AI and governance practices, including data quality standards, model validation, explainability, bias evaluation, monitoring, and auditability
Strong understanding of MLOps and production AI lifecycle management, including CI/CD for models, model versioning, automated testing, performance monitoring, and rollback strategies
Prior experience in regulated or high-trust domains (payments, fintech, banking, healthcare, identity, or security-sensitive platforms) is strongly preferred
Track record of leading 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 to technical standards, design reviews, or internal enablement programs

Benefits

Medical
Dental
Vision
401 (k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness Program

Company

Visa is a multinational financial services company that facilitates electronic payment systems throughout the world.

H1B Sponsorship

Visa has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (459)
2024 (424)
2023 (416)
2022 (515)
2021 (351)
2020 (407)

Funding

Current Stage
Public Company
Total Funding
unknown
Key Investors
TNB Financial Services
2016-09-10Post Ipo Equity
2008-03-19IPO

Leadership Team

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Ryan McInerney
Chief Executive Officer
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Chris Suh
EVP & Chief Financial Officer
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Company data provided by crunchbase