The posting
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
About Visa:
Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind – making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do.
We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visa’s sponsorships, including the Olympics and FIFA™ World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to be.
The Corporate IT Legal Technology organization builds and modernizes the technology platforms that power Visa’s global Legal function. Our mission is to simplify legal processes, improve access to information, strengthen risk and compliance capabilities, and enable Legal to operate more efficiently through technology, data, automation, and AI.
Our portfolio includes Contract Lifecycle Management, Contract Intelligence and Search, Intellectual Property Management, Legal eBilling and Matter Management, Legal AI, workflow automation, and Legal data and analytics. We are building a connected, secure and scalable Legal Technology ecosystem that combines modern SaaS platforms, cloud technologies, integrations, Generative AI, and intelligent automation.
We are responsible for designing and delivering the next generation of Legal Technology, partnering closely with Legal and enterprise teams to transform how legal services are delivered and enable faster, smarter, and more data-driven decision-making across Visa.
Key Responsibilities:
Generative AI & Innovation:
- Lead the design, development, and deployment of GenAI solutions, including LLM integration, prompt engineering, RAG systems, and domain‑specific model customization.
- Evaluate emerging AI capabilities and prototype innovative solutions to accelerate business transformation. Drive experimentation frameworks that validate model performance, user experience impact, and production feasibility.
Enterprise-Scale Engineering:
- Architect cloud‑native applications capable of handling large-scale, high‑availability workloads.
- Oversee performance optimization, distributed processing, caching strategies, and operational monitoring.
- Ensure secure, compliant, and resilient engineering practices aligned with enterprise standards.
Microservices Architecture:
- Design and evolve microservices architectures using best practices such as domain-driven design, event-driven patterns, and API-first development.
- Implement robust inter‑service communication (REST, gRPC, messaging) and reliability patterns (circuit breakers, rate limiting).
- Guide engineers on scaling, testing, and maintaining distributed services.
Leadership & Collaboration:
- Mentor engineering and data science teams in modern AI, GenAI adoption, and architectural excellence.
- Translate business goals into actionable engineering roadmaps and AI solution blueprints.
- Define coding standards, architecture guidelines, model governance, and delivery best practices.
- Collaborate closely with product, security, and platform teams to align AI solutions with enterprise strategy.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Qualifications:
- 12–14 years of software engineering experience, including significant leadership in AI/ML and GenAI initiatives.
- Expertise in LLMs, embeddings, RAG systems, model fine‑tuning, and GenAI frameworks (LangChain, LlamaIndex, Hugging Face, etc.).
- Strong proficiency in Python plus enterprise languages (Java/Scala/Go).
- Experience building scalable cloud-native systems (AWS, Azure, GCP) and microservices architectures.
- Hands-on experience with Kubernetes, Docker, CI/CD pipelines, and observability tools.
- Deep understanding of MLOps practices, model lifecycle management, and production AI monitoring.
- Proven ability to deliver large-scale analytical applications and distributed data workflows.
- Strong leadership, communication, and cross-functional collaboration skills.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
