Staff Software Engineer - Legal GenAI Platform at Visa

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Sep, 26

Salary

210300.0

Posted On

27 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, JavaScript, NoSQL, Angular, Node JS, React, MongoDB, Cassandra, PostgreSQL, GenAI, System Architecture, API Design, CI/CD, Git, Maven, Jenkins

Industry

IT Services and IT Consulting

Description

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 At Visa, trust is everything. Our Corporate Legal Technology team builds the secure, scalable platforms that protect it — powering global privacy, compliance, and legal operations at enterprise scale. We’re now entering the next frontier: GenAI-powered legal systems and agentic workflows. About the Role We’re looking for a Staff Software Engineer with deep GenAI curiosity and systems-thinking expertise to help architect and deliver Visa’s next-generation Legal AI platform. You will play a central role in building our Model Control Plane (MCP) - a productized internal platform that orchestrates, governs, and scales all Legal GenAI and agent-driven workflows. This is not just app development - this is platform engineering for AI-native enterprise systems. From enabling secure AI access to legal systems of record, to designing governed interfaces for intelligent agents, your work will directly impact how legal work gets done at Visa. What You’ll Build: GenAI Platform & Agentic Workflows Architect and evolve the MCP Control Plane - the central layer governing all Legal GenAI interactions Enable AI systems (e.g., Harvey AI and future agents) to securely interact with enterprise legal data and tools Design agent-ready APIs, SDKs, and contracts that make GenAI capabilities reusable and scalable Power end-to-end agentic legal workflows, such as: Matter intake automation Legal invoice review IP portfolio analysis Regulatory reporting Legal research and policy Q&A Governance, Security & Scale Build robust capabilities for: Policy enforcement AuthN/AuthZ and secure access control Audit logging and traceability Rate limiting and workload isolation Multi-environment deployment (dev/test/prod) Ensure all GenAI interactions meet Visa’s high bar for trust, compliance, and governance Platform Engineering Excellence Establish MCP as a true internal product, with strong versioning, backward compatibility, and developer experience Design and implement connectors/adapters for legal systems of record Drive architecture for high scalability, resiliency, and observability What You’ll Do Design, build, and scale mission-critical applications supporting Corporate Legal and Non-AML Compliance Lead end-to-end engineering, from system design and coding to test automation and production support Collaborate closely with Product, TPMs, and business partners to shape AI-driven solutions Mentor engineers and elevate engineering practices across the team Run POCs to explore emerging GenAI technologies and rapidly validate new approaches Influence architecture decisions and help define the future of AI-enabled legal platforms at Visa This is a hybrid position. Expectation of days in the office 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 Basic Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD Expertise in Python, JavaScript, NoSQL At least 3 years of experience building applications on one of the modern JavaScript frameworks such as Angular, Node JS or React Experience in developing and architecting large-scale, production-grade applications Experience in developing and implementing AI systems and algorithms is a plus Experience with agile development incorporating Continuous Integration and Continuous Delivery, utilizing technologies such as GIT, Maven, and Jenkins Ability to create wireframes and responsive designs that result in a great user experience Experience in NoSQL such as MongoDB and Cassandra or in PostgreSQL. Enjoy working fast and smart, and able to grasp complex concepts to design and build algorithms from scratch Strong interpersonal, facilitation, and leadership skills along with effective communication (both written and verbal) skills and the ability to present complex ideas in a clear, concise way Ability to work in a complex organization to determine business and customer needs, providing the best solution to meet those needs Strong teamwork focus and the ability to foster collaboration within and across teams Passionate about learning and applying new technologies and takes pride in delivering working software U.S. Applicants Only The estimated salary range for this position is $131,600.00 to $ 210,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. 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 Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law. If you thrive on rapid growth and enjoy working alongside positive, driven teammates, you’ll feel right at home here. Help us to uplift everyone, everywhere. Whether you’re starting your career, pushing your capabilities or are a seasoned professional, learn how we can partner to reimagine the world. Introduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match. At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Our evolving technology keeps us at the heart of the digital economy, connecting people to 80+ million businesses worldwide. Backed by a resilient, proven model, our expanding network fuels growth—for Visa and for your career. Your journey starts here — discover how we hire Ready to take the next step? Learn more about life at Visa, explore our hiring process and get first-hand insights by hearing directly from our recruiters about what to expect. Apply with confidence today! Learn our recruiting process

Responsibilities

Architect and deliver a Model Control Plane (MCP) to orchestrate and govern GenAI-powered legal systems and agentic workflows. Lead end-to-end engineering from system design to production support while mentoring other engineers.