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About the Role

The Chief Software Engineer – GenAI Platform will lead the technology strategy, solution, and execution for Visa's GenAI platform and AI posture, with a focus on inference systems. This role supports and empowers AI efforts across VERA and Visa.

Responsibilities

• Define and drive the overall technical strategy and architecture, ensuring alignment with business goals while accelerating innovation and time to market.
• Architect, design, and code highly scalable, reliable, and secure distributed systems and platforms.
• Lead the adoption of Generative AI and Agentic AI to boost developer productivity and build innovative business solutions and products.
• Establish and promote best practices for software development, including CI/CD automation and DevOps, to improve efficiency and quality across the SSDLC.
• Actively contribute to critical projects by developing key modules, core frameworks, automation tools, and proof-of-concepts.
• Provide technology leadership, especially in GenAI, and motivate high-performing engineering teams, setting clear priorities to achieve product and technology KPIs.
• Collaborate cross-functionally with security, privacy, governance, and business partners to deliver compliant, scalable, and reliable solutions.
• Communicate technical strategy and engineering solutions effectively to diverse stakeholders.
• Mentor and coach senior engineers and engineering managers, fostering a culture of collaboration and continuous learning.
• Implement rigorous application development, testing, deployment, and monitoring practices to uphold architectural excellence and reliability standards.
• Adhere to Visa’s Leadership Principles by promoting collaboration, acting as owner, and executing with excellence.

Requirements

• 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 a minimum of 5 years of work experience with a PhD
• 15 or more years of experience with a Bachelor’s Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience
• 15+ years in software engineering with a strong background in architecting large-scale, distributed systems.
• Proficiency in languages like Java, Python, or GoLang, and frameworks such as Spring, Node.js, React.
• Experience with RESTful and gRPC APIs, microservices, and event-driven systems.
• Strong skills in inference systems.
• Proven experience leveraging Generative AI and Agentic AI to support productivity improvements and product innovation.
• Familiarity with integrating AI solutions into existing platforms.
• Strong understanding of API security, data encryption, and Hardware Security Modules (HSMs).
• Experience in building secure applications and implementing security-first practices.
• Proficiency in SQL and NoSQL databases (e.g., MSSQL, MongoDB).
• Experience with distributed caching technologies like Redis.
• Hands-on experience with AWS, Azure, or GCP.
• Strong understanding of DevOps practices, CI/CD pipelines, containerization (Docker), and orchestration tools (Kubernetes).
• Demonstrated ability to automate SSDLC phases to improve efficiency and quality.
• Experience with automated testing frameworks, code quality tools, and delivery pipelines.
• Deep understanding of architectural patterns and best practices.
• Ability to balance short-term and long-term technological decisions aligned with business goals.
• Experience in designing and maintaining highly available (99.999%), reliable, active active critical systems.
• Willingness to contribute directly to codebases and develop to validate new ideas and integrate beneficial emerging technologies.
• Proven ability to lead and mentor engineering teams, fostering a collaborative environment.
• Excellent communication skills to articulate complex technical concepts to diverse audiences.
• Familiarity with compliance and regulatory requirements in the payments industry is a plus.
• Passion for staying current with industry trends and emerging technologies.
• U.S. Applicants Only

Skills

• Java
• Python
• GoLang
• Spring
• Node.js
• React
• RESTful APIs
• gRPC APIs
• Microservices
• Event-driven systems
• Inference systems
• Generative AI
• Agentic AI
• API security
• Data encryption
• Hardware Security Modules (HSMs)
• SQL
• NoSQL
• MSSQL
• MongoDB
• Redis
• AWS
• Azure
• GCP
• DevOps
• CI/CD pipelines
• Docker
• Kubernetes
• Automated testing frameworks
• Code quality tools
• Delivery pipelines
• Architectural patterns

Location

• Hybrid

Work Type

• Hybrid
• Full-time

Experience Level

• 12+ years
• 10+ years
• 5+ years
• 15+ years
• 9+ years

Education Level

• Bachelor's Degree
• Advanced degree (e.g. Masters/MBA /JD/MD)
• PhD

Salary/Compensations

• $217,900.00 - $349,000.00 USD per year

Benefits

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

About the Company

• 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.

Equal Opportunity

• 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.