Visa

Lead Systems Engineer for Microsoft Teams at Visa, responsible for platform strategy, architecture, governance, and operational excellence. This role involves end-to-end deployment, optimization, and evolution of the Teams environment, including meetings, chat, channels, voice, platform integrations, security, and device integration. A key focus is maximizing AI and agentic automation opportunities within Microsoft Teams and the broader Microsoft 365 platform, such as Copilot and Graph-based automation, to drive optimization and improve user experience.

Staff Software Engineer at Visa, focusing on integrating AI/ML models and LLMs into large-scale distributed production systems for fintech applications. Requires extensive Java and distributed systems expertise, along with experience in API development and data infrastructure.

Software Development Engineers at Visa are responsible for designing, implementing, and improving software applications and systems in the fintech sector. They spend a significant portion of their time coding, utilizing modern tools including AI-assisted development, cloud services, and automation frameworks. The role involves collaborating with cross-functional teams, translating business requirements into technical solutions, and adhering to security and regulatory standards. A key aspect is the use of Generative AI tools to enhance coding efficiency and quality.

Staff Software Engineer at Visa, focusing on integrating and serving LLMs at scale within a fintech environment. The role involves building intelligent APIs with AI/ML inference endpoints, utilizing vector databases for RAG, and understanding prompt engineering and model fine-tuning. This is a hands-on coding role with a significant focus on AI-assisted development tools and distributed systems.

Staff Software Engineer at Visa, focusing on integrating and serving LLMs at scale within a fintech environment. The role involves building intelligent APIs with AI/ML inference endpoints, understanding vector databases for RAG, and knowledge of prompt engineering and model fine-tuning. The engineer will spend 60-75% of their time coding and working with modern tools, including AI-assisted development and cloud services, to deliver secure, scalable, and high-quality technology solutions.

This role focuses on securing employee access to core applications by managing Identity and Access Management (IAM) practices, with a specific emphasis on Active Directory, EntraID, and Windows Servers. A key responsibility is to identify opportunities to automate IAM processes using Generative AI and scripting, and to perform data analysis on large datasets using GenAI. The role also involves incident response and developing monitoring/alerting mechanisms for identity-related security incidents.

Lead Systems Engineer for Microsoft Teams at Visa, focusing on platform strategy, architecture, governance, and operational excellence. The role involves end-to-end deployment, optimization, and evolution of the Teams environment, including meetings, chat, channels, voice, integrations, security, and device integration. A key aspect is maximizing AI and agentic automation opportunities within Microsoft Teams and Microsoft 365, including Copilot and Graph-based automation, to streamline operations and improve user experience.

Visa is seeking a Sr. Data Engineer for their Data and Artificial Intelligence Platform (DAP) group. The role involves developing data pipelines using Spark with NLP concepts, contributing to the operationalization of AI and decision intelligence, and building large-scale applications using open-source technologies. The position requires hands-on programming, design, development, and unit testing of software adhering to high standards of security, quality, and performance.

Visa is seeking a Senior Consultant level Machine Learning Engineer to focus on crafting new capabilities for their AI Platform. The role involves web application and web service development, working within Agile Scrum teams to deliver production-ready code. Responsibilities include collaborating with project teams, driving end-to-end development, managing risks, and presenting technical solutions. The role requires expertise in languages like Golang, Java, or C++, web service standards, distributed systems, Big Data technologies, and caching. While the role is within an AI Platform, the core responsibilities lean towards engineering and product delivery rather than core AI/ML research or model building.

Staff Software Engineer at Visa focused on release coordination, DevOps, and security analysis, with a requirement for AI/ML experience. The role involves designing and developing microservices, implementing automation for build/test/deployment, ensuring security compliance, managing software releases, and maintaining service availability. It requires strong experience in CI/CD, scripting, Linux administration, and monitoring tools, with a focus on secure and robust application delivery within a regulated financial services environment.

Visa is seeking a Sr. Cybersecurity Engineer - IAM to design, implement, and operate security controls for cloud-native platforms and workloads. The role involves partnering with engineering, DevOps, and architecture teams to ensure cloud services are secure by design, compliant with regulatory requirements, and resilient. A key aspect of this role is providing security oversight and engineering support for AI-enabled capabilities, ensuring the responsible adoption of AI and LLMs aligns with Visa's security and data protection principles, and global regulatory expectations. The engineer will also focus on multi-cloud security/IAM, identity providers, and PAM capabilities.

Cybersecurity Engineer focused on cloud security (AWS, Azure, GCP) and AI/LLM security integration within Visa's platform. Responsibilities include designing, implementing, and operating security controls, ensuring secure by design principles, and providing security oversight for AI-enabled capabilities, aligning LLM adoption with security controls and regulatory expectations.

Senior Software Engineer to design, enhance, and build Visa's HR platform, integrating Generative AI models and tools for production and innovation. The role involves developing custom reports, integrations, and real-time enhancements, while also co-developing features with GenAI agents to increase speed-to-market and code quality. Focus on building high-performance, scalable APIs and ensuring end-to-end accountability for new features.

Staff Systems Engineer focused on implementing enterprise-grade audiovisual and collaboration environments. The role involves leading AV build standards, working with vendors, and ensuring solutions are intuitive, supportable, and aligned with security and reliability requirements. A key aspect is enabling AI-assisted collaboration and leveraging AI-enabled tools for design, monitoring, and lifecycle management of AV and UC environments.

Senior Network Engineer focused on Network Tools, responsible for engineering, operating, and optimizing commercial network monitoring, management, and automation solutions. This role will integrate automation frameworks, cloud-native architectures, and Generative AI (GenAI) to enhance operational uptime and efficiency, develop predictive analytics, and enable automated incident response. The engineer will collaborate with various teams to transform network monitoring and configuration management into highly automated and resilient infrastructures.

This role involves an economics graduate student using AI agents to analyze data, generate insights for the payments industry, and contribute to economic forecasting and content creation. The primary focus is on leveraging AI tools and building AI agents for data analysis and insight generation within the fintech domain.

This role is for an Implementation Consultant at Visa, focusing on managing infrastructure-related projects for Visanet Endpoint clients. The role involves gathering requirements, providing consultative guidance on Visa regulations and features, and managing project implementations. A key aspect is leveraging AI-enabled and agentic tools to enhance implementation execution, documentation, and analysis, aiming to improve delivery processes and client outcomes. The role requires strong project management skills, client coordination, and the ability to manage complex initiatives within the fintech domain.

Senior Systems Engineer role focused on building, administering, and supporting enterprise-grade streaming and messaging platforms (Kafka, IBM MQ) on AWS. The role involves infrastructure automation (Terraform, Ansible), scripting (Python/Bash), and applying GenAI to automate operational tasks. While GenAI is mentioned for automation, the core function is infrastructure engineering for messaging systems, not direct AI model development or deployment.

Lead Software Engineer at Visa focused on building and enhancing enterprise-wide innovation platforms and products. The role involves using Gen AI tools for daily tasks like code and test generation, and contributing to innovative ideas using Gen AI to improve agility, quality, and security in the SDLC. The engineer will also enhance product capabilities with AI/ML services for collaboration, automation, and insights, working on complex distributed systems and large-scale problems within Visa's payment technology ecosystem.

Software Engineer at Visa focused on developing and deploying medium to complex solutions that process millions of transactions daily. The role involves designing, coding, testing, and maintaining payment products, contributing to enhancements, and ensuring code quality and performance. A key aspect is the utilization of GenAI tools to improve software development processes, including code generation, optimization, and testing, within a fast-paced agile environment.

The Quality Analyst role at Visa focuses on advancing quality, risk, and control monitoring within customer interactions and operational processes. This role utilizes AI-enabled quality tools and advanced analytics to identify trends, root causes, and emerging risks. A key responsibility is supporting human-in-the-loop AI quality monitoring by reviewing and providing feedback on AI-generated scores to improve model performance. The analyst will also partner with stakeholders to translate quality findings into actionable insights and remediation strategies, ensuring the governance and accuracy of AI models used for quality assessment.

The Quality Analyst role at Visa focuses on advancing quality, risk, and control monitoring by using a combination of manual evaluation, AI-enabled quality intelligence, and data-driven insights. The role supports risk governance by performing quality reviews, monitoring controls, identifying risks, and enabling continuous improvement in customer interactions and operational processes. It involves analyzing patterns, identifying root causes, and influencing operational changes by partnering with various stakeholders. The role leverages AI-assisted tools and advanced analytics to generate insights, support governance of AI quality models, and deliver actionable narratives to leadership.

This role is responsible for risk governance and business control supervision within Visa's fintech operations. The Analyst will conduct risk and control self-assessments, analyze operational processes, evaluate control effectiveness, and coordinate audits. A key aspect of the role involves leveraging AI technologies and automation platforms, such as PowerApps, to generate data-driven insights, improve efficiency, and enhance risk monitoring precision. Proficiency in Power BI, data visualization, statistical analysis, and database management is required, along with experience in AI-driven analytics and automation solutions. The role also involves developing action plans and engaging with cross-functional teams.

Director, Software Engineering at Visa, focusing on designing, building, and testing software products for global payment technology. The role involves collaborating on complex distributed systems, ensuring scalability, security, and reusability, and leveraging innovative technologies for next-generation payment services. Experience with AI tools and agentic solutions is mentioned as a plus.

This role supports data analysis, reporting, and analytical solutions for operations and solutions in high-volume payment environments. The analyst will develop and maintain dashboards, visualizations, and reporting to improve business visibility and operational effectiveness. Responsibilities include defining and tracking KPIs, troubleshooting data quality issues, and identifying opportunities to improve efficiency through automation and AI-enabled tools. The role also involves translating business needs into scalable reporting and analytical solutions and ensuring data integrity and quality practices.

Lead Software Engineer for Visa's Middleware Reliability Engineering team, focusing on automation, observability, and AI/ML integration for critical payment systems. Responsibilities include developing automation solutions, managing infrastructure as code, optimizing CI/CD pipelines, enhancing observability, and leading cloud-native initiatives. The role involves mentoring and driving DevOps best practices, with a specific emphasis on integrating AI/ML frameworks and chatbots to improve operational intelligence and tooling.

Senior Software Engineer at Visa, focusing on building and scaling software products for global payment transactions. The role involves designing, coding, and testing software solutions, collaborating with cross-functional teams, and leveraging innovative technologies within the fintech domain. While the role mentions familiarity with AI concepts like LLMs and agentic AI, its core focus is on traditional software engineering for payment systems.

Visa is seeking a Senior Consultant Systems Administrator to provide technical support, project delivery, and automation using GenAI tools. The role involves enhancing workflows, initiating automation projects, developing AIOPS applications, and optimizing processes with LLM-based AI agent frameworks. Responsibilities include scripting, server management, incident/change management, and cross-team collaboration, with a focus on leveraging GenAI for operational improvements.

Systems Engineer role focused on Infrastructure as Code (IaC), automation (Terraform, Ansible, Python), CI/CD, and integrating Generative AI/AI solutions into automation and system engineering processes. The role involves designing, building, and maintaining infrastructure, automating workflows, and collaborating with various teams. Requires strong scripting, cloud, and system administration skills, with exposure to AI/GenAI concepts.

Lead Software Engineer for Visa's Global Token Services team, focusing on revolutionizing testing technology and approach for enterprise applications. The role involves designing and implementing cloud-based mobile payment platforms, coordinating with stakeholders, and leading development teams. The engineer will also use and coach others on AI tools to improve development processes.

Visa's Consulting and Analytics team seeks a Senior Data Scientist to develop and improve client businesses through data utilization. The role involves building and automating predictive models, providing analytics and consulting services, and collaborating with clients to extract insights and create dashboards. Projects include attrition modeling, recommendation systems, network analysis, and LTV forecasting. The position requires strong analytical experience, proficiency in machine learning techniques, and experience with large data processing tools.

Staff Software Engineer for Visa AI as a Service (AIaS) platform, focusing on creating and maintaining new capabilities for AIaS while maturing platforms and products. The role involves developing distributed backend platforms and operationalizing AI/decision intelligence for Visa's consumers. Experience with data and model engineering pipelines, ML concepts, and productionizing ML models is beneficial.

Senior Software Engineer at Visa, focusing on building and deploying AI-powered solutions within enterprise fintech environments. The role involves prompt engineering, tooling orchestration for AI agents, and applying generative AI concepts like NLP and multimodal AI to production systems. Experience with cloud-native DevOps and agile methodologies is expected.

Lead and manage a data science team at Visa, focusing on developing and implementing analytics and consulting services for clients. This role involves hands-on project execution, client interaction, and strategic planning to drive business performance using data science capabilities. The team builds and automates predictive models, assists clients in execution, and innovates new analytics services.

This role focuses on reverse engineering existing business logic from production systems to define and document requirements for a new system (Open VisaNet). It involves applying GenAI-enabled approaches and designing GenAI-based tools to accelerate understanding of legacy systems, with a strong emphasis on prompt engineering and model interaction techniques. The role also requires acting as a Subject Matter Expert for existing systems and collaborating with various teams to ensure requirements are suitable for both human and GenAI-assisted consumption.

Staff Data Engineer responsible for designing, building, and scaling data platforms for analytics, reporting, and ML-enabled use cases within Visa Direct. The role is data-engineering led with exposure to ML workflows, focusing on production-grade data foundations.

Staff Data Engineer to join Visa's Data & AI Platform team. The role involves architecting, designing, and building scalable big data and enterprise platform solutions that power critical data, analytics, and AI capabilities, including tools like Copilot, LLMs, and AI-assisted engineering platforms. Requires deep technical expertise in Hadoop, Spark, Kafka, Big Data technologies, Java 8+, distributed systems, and API-driven application development, along with technical leadership and mentoring.

Staff Data Engineer on the Predictive Fraud Intelligence (PFI) team, focusing on MLOps and Data Engineering. The role involves building and maintaining data pipelines, developing platforms for ML experimentation and deployment, creating automated monitoring systems, and ensuring compliance for AI/ML models in a financial industry context. The position requires expertise in big data processing, distributed systems, cloud platforms, and MLOps tooling to support fraud-detection models.

Senior Full Stack Developer role at Visa, focusing on the Visa Spend Clarity platform. The role involves developing .NET, SQL, and ReactJS code, participating in technical design, code reviews, and testing. It requires experience with the Microsoft technology stack, AWS cloud development, and familiarity with Generative AI and LLMs for product enhancement. The position emphasizes agile methodologies and collaboration within a cross-disciplinary scrum team.

Staff Software Engineer role at Visa's Open Banking team in Bangalore, focused on building an AI-first platform. The role involves leading design and implementation of new features, building high-performance APIs, co-developing with GenAI agents, operating in a DevOps model, and experimenting with Visa's AI models for API integration, anomaly detection, and intelligent automation. The engineer will also work on Open Banking integrations, cloud-native DevOps, and provide technical leadership and mentorship.

Senior Software Engineer at Visa focused on driving innovation within internal processes and ecosystem by conceptualizing, developing, and scaling new ideas into commercial solutions. The role involves rapid prototyping, exploring new technologies, and leveraging AI/Gen AI/Agentic AI technologies in development and production systems.

This role focuses on developing Data Analytics solutions using quantitative techniques and building complex statistical models that learn from big data. The Data Scientist will employ AI/ML/LLM models and cloud-based analytics to solve complex business problems, working with large datasets and applying various machine learning and statistical techniques. The role is within Visa's Consulting and Analytics team, focusing on Taiwan.

This role focuses on deploying, managing, and maintaining server security controls, including micro-segmentation, file integrity monitoring, malware analysis, and deception technologies. The candidate will leverage AI-powered tools to enhance detection and response, monitor security tool health, integrate tools with existing infrastructure, and develop automation scripts. The position involves analyzing alerts, performing malware analysis, and contributing to security projects and evaluations within a cybersecurity context.

This role focuses on managing client engagements in payment risk and security solutions, involving data analysis, fraud mitigation, and authorization optimization. It requires proficiency in SQL and Python for data analysis, and a working knowledge of Generative AI and LLM concepts to explore their application in improving analysis efficiency and automating workflows. The role involves configuring and optimizing Visa's risk solutions and translating analytical findings into actionable recommendations for clients.

Lead Data Engineer responsible for architecting, scaling, and optimizing enterprise-wide data platforms for an Agentic AI and Data Platform. This role involves technical leadership, team mentoring, and driving innovation in data engineering, with a focus on supporting AI/ML initiatives and integrating with agent frameworks.

This role focuses on applying data analytics and modeling to solve business problems within the fintech domain, specifically for Visa's clients. The primary responsibilities involve leading data science projects, analyzing large datasets (VisaNet, client data, 3rd party data) to derive insights, developing and implementing solutions, and communicating findings to clients. While machine learning techniques are mentioned, the core focus is on data analysis and deriving business strategies rather than building core AI/ML models or systems.

Software Engineer at Visa focusing on Commercial Money Movement Solutions. Responsibilities include writing optimized code, developing end-to-end solutions, troubleshooting, contributing to system design, and building internal tools. The role requires experience with various programming languages and frameworks, and exposure to Gen AI tools, LLMs, prompt engineering, ML models, MLOps, cloud technologies, and software testing principles.

Software Engineer role at Visa focused on innovating internal business processes and ecosystem using new technologies, including AI. The role involves leading teams, rapid prototyping, scaling successful pilots to commercial solutions, and exploring new technologies. While AI is mentioned as a tool to be leveraged, the core function is product development and innovation within the fintech domain.