As a key member of the delivery execution team, candidates would need to create scalable designs, write maintainable code, reusable components/services/utilities, and test cases.
The successful candidate will become a recognized Subject Matter Expert, responsible for contributing to the development and implementation of dispute processing capabilities for Visa Resolve Online application.
Responsibilities
Works independently on defined problems and features
Applies established architectural patterns with good technical judgment
Takes ownership of code quality, testing, and production reliability
Design, build, and ship AI-powered tools that enhance the autonomous development lifecycle - from code commit to production deployment
Convert AI concepts into concrete, working products with clear success metrics and measurable impact
Build AI systems that improve software quality through intelligent code analysis, test optimization, and automated defect detection
Create AI-driven solutions that provide deep insights into code quality, technical debt, and system performance
You are expected to deliver consistently, contribute to improving the codebase and systems you work on, and operate with a production‑first mindset.
Design and implement small to medium‑sized features or components based on defined requirements and reference architectures.
Apply approved architectural patterns (e.g., microservices, event‑driven messaging, APIs) correctly and consistently.
Translate functional requirements into clean, efficient, and maintainable code.
Translating real-world business challenges into measurable machine learning metrics
Explain complex algorithmic decisions and model predictions to non-technical stakeholders
Contribute to design discussions and document implementation decisions where appropriate.
Write high‑quality, readable, and testable code aligned with defined engineering standards.
Develop and maintain automated unit and component tests.
Identify and address defects, performance issues, and reliability gaps in owned areas.
Participate in production releases and operational readiness activities.
Drive continuous innovation in AI-driven development through research, prototype building, and production rollouts.vWork closely with Product Managers, DevOps, and peer engineers.
Mentor junior engineers and contribute to best practices for building AI enabled applications.
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 in Computer Science, Software Engineering, Artificial Intelligence, or related technical field
Strong background in AI systems with proven ability to design, build, and ship AI-powered solutions that enhance the autonomous development lifecycle, improve software quality.
Experience with Python and Machine Learning fundamentals, including preparing and analyzing data, building and evaluating predictive models, and improving model performance. Familiarity with common Machine Learning techniques such as regression, decision trees, random forests, and ensemble methods is beneficial. Experience using tools such as Python, scikit-learn, pandas, NumPy, and Jupyter notebooks is preferred. An understanding of model evaluation concepts (e.g., accuracy, precision, recall, and related metrics) is helpful, but deep expertise in all areas is not required.
5–8 years of hands-on software engineering experience building, delivering, and supporting enterprise-grade Java/J2EE applications, preferably using Spring Boot, RESTful APIs, microservices, and modern front-end frameworks such as Angular or React.
Strong foundation in software engineering principles, clean code practices, object-oriented design, data structures, algorithms, distributed systems, and scalable application architecture.
Hands-on experience with AI-assisted software delivery, including effective use of generative AI coding assistants and developer tools such as Claude Code CLI, GitHub Copilot, Cline, prompt engineering, AI-supported code review, test generation, documentation, and productivity workflows.
Ability to validate, refactor, and secure AI-generated code with strong human oversight, ensuring correctness, maintainability, performance, compliance, and production reliability.
Working knowledge of applied AI concepts relevant to software engineering, such as large language models, embeddings, retrieval-augmented generation, agentic workflows, model limitations, data privacy, and responsible AI practices.
Knowledge of Agentic Skills, including setting up, reviewing, and maintaining skills, knowledge graphs, and related AI orchestration patterns to support reliable, context-aware developer productivity workflows.
Proven ability to design and deliver production-ready services using APIs, event-driven messaging, caching, resiliency patterns, observability, and secure integration practices.
Solid experience with relational databases and SQL; experience with DB2, MySQL, performance tuning, schema design, and data access optimization is preferred.
Experience with cloud-native engineering practices and container platforms such as Docker, Kubernetes, or OpenShift, including deployment, monitoring, scaling, and operational readiness.
Strong DevSecOps mindset with practical understanding of secure coding, vulnerability remediation, secrets management, dependency governance, logging, monitoring, and incident response.
Experience working in Agile delivery teams with strong ownership of stories, design decisions, engineering quality, production support, and continuous improvement.
Strong analytical, problem-solving, and debugging skills with the ability to troubleshoot complex issues across application, integration, data, infrastructure, and AI-assisted delivery workflows.
Excellent communication skills with the ability to explain technical decisions clearly, collaborate across Product, Architecture, DevOps, QA, and Security teams, and document designs and trade-offs concisely.
Experience in financial services, payments, dispute processing, or other high-volume, mission-critical enterprise platforms is a strong plus.
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.
