Visa Consulting and Analytics (VCA) is seeking a Manager to lead, design, and implement high-impact analytics, machine learning, and Generative AI solutions. This role involves technical leadership, hands-on data engineering, statistical modeling, and cutting-edge AI development, including LLMs and agentic workflows. The candidate will manage the end-to-end lifecycle of projects, from problem definition to deployment and monitoring, working with complex data sources and building both traditional ML and Generative AI models. The role also includes mentoring junior data scientists and promoting AI adoption.

This role involves leading the execution of next-generation AI-powered solutions within Visa's technology organization. The analyst will partner with cross-functional teams to guide development from ideation to scaled deployment, focusing on building intelligent, resilient, and trustworthy AI systems for global payment networks. Key responsibilities include leading experimentation, shaping the AI ecosystem, implementing AI-native capabilities, translating business challenges into roadmaps, driving collaboration, championing product quality, and enabling global impact through AI maturity.

Senior Software Engineer at Visa focused on designing, building, and operating production-grade AI agents and orchestration workflows. The role involves owning the end-to-end agent lifecycle, collaborating with cross-functional teams, and developing scalable enterprise applications with AI/ML components. Requires strong Python proficiency and experience with LLM frameworks and vector databases.

Software Development Engineer on the Product Reliability Engineering (PRE) team at Visa. This role focuses on building and automating large-scale systems for payment transactions, with a significant emphasis on developing agentic AI tools to enhance deployment pipelines, infrastructure provisioning, and observability. The role involves managing data platforms, optimizing database performance, and ensuring system reliability and security within a regulated financial technology environment.

Senior ML Engineer at Visa focused on designing, developing, and deploying scalable machine learning products for online prediction. The role involves building and maintaining ML infrastructure and tooling, collaborating with cross-functional teams, and ensuring the performance and reliability of ML models in production. Experience with cloud platforms (AWS/GCP), Kubernetes, Vertex AI, Triton inference server, and ML lifecycle fundamentals is required.

Visa is seeking a Vice President, Clearing to provide executive ownership for critical, regulator-visible components of VisaNet. This role will define and execute a multi-year GenAI and automation transformation strategy for Clearing platforms, aiming to improve platform quality, operational resilience, and execution speed through applications like predictive incident detection and intelligent exception handling. The VP will also lead modernization efforts, ensure regulatory compliance, and manage a large, globally distributed engineering organization.

Senior Manager role at Visa focused on leading the technical design and hands-on delivery of advanced analytics and machine learning projects, with a specific emphasis on Generative AI use cases. The role involves end-to-end execution from problem framing to production-ready design, including prototyping, validation, and applying GenAI/ML techniques aligned with business value and governance. Requires strong hands-on experience in ML/analytics and leading GenAI/LLM use cases.

Senior Data Scientist role at Visa focused on designing and delivering advanced analytics and machine learning solutions, with a specific emphasis on prototyping and validating Generative AI and LLM use cases. The role involves end-to-end analytics tasks, including data preparation, modeling, validation, and performance assessment, with a focus on productionizing successful prototypes and applying appropriate techniques considering data constraints and governance. Collaboration with cross-functional teams is key to integrating solutions into production environments.

Visa is seeking a Senior Data Scientist to join their Global Data Science group. This role will focus on building creative solutions using Visa's rich transaction data to solve meaningful business problems for commercial partners. The position involves using LLM-based systems, developing custom data models and algorithms, and creating robust, scalable AI/ML solutions and products for a production environment. The ideal candidate will have extensive experience in data-based decision-making, AI/ML model development, and working with LLMs.

Software Engineer role focused on building GenAI automation solutions using frameworks like Langraph and Langchain, with experience in RAG and fine-tuning LLMs, within the fintech domain at Visa.

Visa is seeking a GenAI Architect / Sr Consultant, Software Engineer to design, develop, and deploy GenAI-powered applications. This role involves leading an engineering team, building scalable AI systems, and integrating them with Visa's product ecosystem. The work focuses on architecting automation and GenAI into operational processes, with a strong emphasis on observability and incident management. The role requires hands-on full-stack development, cloud engineering, and expertise in LLM frameworks, RAG, and vector databases.

Lead Solutions Architect for Visa's Profile Systems Engineering Team, focusing on designing and building GenAI and Agentic AI solutions for payment products, aligning with Visa's 2030 strategy. Requires expertise in software development, architecture, and the payments domain.

Director-level AI Engineer role focused on owning and managing core merchant data assets and analytical pipelines within the Global Merchant Repository and Merchant Data Platform. The role is responsible for ensuring data quality, availability, and AI/ML readiness, enabling advanced analytics, machine learning, and GenAI use cases by delivering curated, AI-ready datasets. This includes feature engineering, supporting model training/validation/inference, and enabling GenAI features like RAG and embeddings, while enforcing data governance and responsible AI practices.

Visa is seeking an Associate Cybersecurity Engineer to enhance IAM processes using AI/ML and GenAI. The role involves designing data pipelines, automating IAM governance, integrating LLM-based chatbots and anomaly detection, and managing incidents with AI-driven strategies. Responsibilities include application enrollment, advanced governance, security configuration inspection, reporting automation, and audit response, all while leveraging AI and automation to improve security and operational efficiency.

Senior Engineering Manager to lead a team in Visa's Open Banking division, focusing on an AI-first approach to software development. The role requires hands-on experience with Generative AI tools and methodologies to accelerate delivery and maintain engineering excellence, leading teams in designing, coding, testing, and deploying innovative Open Banking solutions.

Data Engineer role focused on building and operationalizing GenAI capabilities for Finance, including RAG, prompt engineering, evaluation frameworks, and agent-based workflows. Responsibilities include architecting data pipelines, semantic models, and BI solutions, while also implementing CI/CD, observability, and governance for AI services.

Software Engineer to build agentic solutions using LLMs and AI-ML platforms for real-time transactions at Visa's global scale, focusing on product reliability engineering.

Visa is seeking a Senior Cybersecurity Engineer with expertise in endpoint security solutions and AI/ML techniques. The role involves designing, deploying, and supporting security technologies, applying GenAI/ML methods to endpoint telemetry for threat detection, and implementing LLM-powered services like RAG at production scale. The engineer will also be responsible for automation, detection engineering, and large-scale telemetry analysis within the cybersecurity domain.

Senior Software Engineer for Visa's Product Reliability Engineering team, focusing on building agentic solutions and deep learning models for real-time transaction reliability at scale. The role involves designing, building, and testing software products that operate globally to predict and prevent reliability challenges in fintech transactions.

ML Engineer role focused on building and maintaining large-scale data processing systems and data pipelines for the Asia Pacific region, supporting data scientists and analysts. The role involves MLOps, cloud migration, and infrastructure efficiency improvements within Visa's fintech domain.

New College Grad Systems Engineer role focused on infrastructure management, with a specific emphasis on leveraging Generative AI tools for automation, workflow streamlining, and innovation in infrastructure management. The role involves assisting with server, storage, and GPU platform setup, configuration, and maintenance, collaborating with senior engineers on AI-based automation scripts, and participating in AI proof-of-concept projects. It also includes monitoring system health using AI-driven analytics and working with AI teams on new initiatives. The position is for new graduates with a background in Computer Science, Computer Engineering, or Data Science.

Staff Software Engineer at Visa, a payments technology company. The role involves designing, implementing, and improving software applications and systems, with a significant portion of time spent coding. Engineers will use modern tools, including AI-assisted development and cloud services, to deliver secure, scalable, and high-quality technology solutions within the fintech sector. Responsibilities include collaborating with stakeholders, translating requirements into designs, leading code reviews, creating test plans, and responding to incidents. The role requires digital fluency and the ability to work with emerging technologies like Generative AI tools.

This role supports second-line-of-defense risk governance by providing independent oversight and assurance over operational risk management and control performance. It involves identifying emerging risks, assessing control effectiveness, driving remediation, and analyzing trends. The role leverages analytics, visualization platforms, and AI-assisted monitoring to surface risk insights and validate automated outputs.

Director of Software Engineering at Visa, leading teams to deliver secure, scalable fintech applications. The role involves overseeing the full SDLC, driving agile and DevSecOps practices, and ensuring responsible integration with AI/ML capabilities, including Generative AI and Agentic AI. Emphasis on adherence to data governance, model explainability, and financial regulatory compliance. The role requires leadership, coaching, and potentially hands-on coding/prototyping. It also involves using AI tools for daily work.

This role focuses on leveraging AI, specifically LLMs and agents, to automate processes and generate forward-looking insights for optimizing authorization performance in the fintech domain. The primary responsibility involves building and deploying capabilities to identify leading indicators of auth trends and create automated insight packages for stakeholders.

Senior Data Scientist role at Visa, focusing on applying statistical and machine learning techniques to solve business problems for clients in the fintech domain. The role involves executing analytic projects, establishing best practices for model automation and production rollout, and collaborating with clients to extract insights and create dashboards. Projects include attrition modeling, recommendation systems, and forecasting.

This role focuses on designing and architecting scalable infrastructure solutions, integrating AI/ML capabilities, agentic AI, and LLMs to automate workflows and enhance developer experience within Visa's technical ecosystem. It involves hands-on experience with cloud technologies, Kubernetes, and infrastructure as code, with a strong emphasis on applying AI to solve engineering challenges and convert business processes into automated agentic workflows.

Visa's Data Science team is seeking a Senior Manager to lead analytics projects, design and deliver solutions using advanced analytics, Machine Learning, and AI to solve client business objectives in the payments industry. The role involves collaborating with stakeholders, managing projects, and applying statistical techniques to large datasets.

Staff Analytics Engineer at Visa, responsible for transforming data into business insights by developing and maintaining scalable data pipelines, collaborating on analytics solutions, supporting the ML platform, leading technical initiatives, and ensuring DataOps/CI/CD practices. Requires expertise in SQL, Python, Databricks, AWS services (Glue, Athena, S3, Lambda), Terraform, Git, BI, data modeling, and data orchestration.

This is a Director of Software Engineering role at Visa, a global payments technology company. The role focuses on designing, building, and testing software products that reach a global customer base, with an emphasis on payment services, transaction platforms, and real-time payments. While the core function is software engineering for financial products, there's a requirement to integrate generative AI into engineering workflows to improve productivity and code quality.

Senior Manager, Software Engineering at Visa, focusing on commercial payment platforms. This role requires a GenAI-first attitude, expecting the candidate to be a model user of GenAI, LLMs, coding copilots, and agentic engineering approaches to improve software quality, speed, innovation, and operational excellence. Responsibilities include designing, developing, and implementing scalable, secure, and reliable applications, leading architecture, and mentoring junior developers. The role emphasizes deep expertise in API platforms, backend services, microservices, and event-driven systems, with a strong focus on leveraging GenAI in the SDLC.

Staff Software Engineer at Visa, focusing on designing, developing, testing, and deploying complex payment products. The role involves leveraging GenAI tools to enhance software development processes and integrating AI solutions into existing systems, while also contributing to core payment product development and system architecture.

Senior Software Engineer at Visa, a payments technology company, focusing on building and improving software applications and systems for the fintech sector. The role involves 60-75% coding, collaborating with cross-functional teams, and adhering to security and regulatory requirements. Engineers are expected to use AI-assisted development tools and Generative AI tools like ChatGPT and Microsoft Copilot in their daily work.

Chief Software Engineer role at Visa (Pismo platform) focused on building next-gen core banking and payments solutions. The role involves hands-on development, testing, and delivery of software, with an emphasis on leveraging data to solve business challenges. While not directly building AI models, the role requires digital fluency and the ability to use emerging Generative AI tools to support daily work. The position is within the fintech domain and is considered mature.

Associate Data Scientist role focused on applying Generative AI techniques and AI-powered tools to enhance data analysis, insight generation, and internal workflows within Visa's Global Consumer Payments Data and Analytics team. The role involves contributing to the development and deployment of ML models, leveraging large datasets with SQL and Python, building BI dashboards, and supporting model deployment and monitoring under guidance.

New college grad Systems Engineer role at Visa focused on designing, developing, and implementing projects within the Technology organization. The role involves assisting with server, storage, and GPU platform setup and maintenance, leveraging Generative AI tools for automation and innovation in infrastructure management, and collaborating with AI teams. The position is for recent graduates with a background in Computer Science, Computer Engineering, or Data Science.

Chief Software Engineer for Visa's Commercial and Money Movement Solutions (CMS) team, focusing on building next-generation B2B Payables and Visa Commercial Solutions Hub products. The role involves providing technology leadership, driving architecture for complex distributed systems, establishing software development best practices, and contributing to GenAI innovation for developer productivity and product innovation. Requires advanced knowledge of AI/Generative AI/Data Science and experience in Java, Spring, web services, microservices, and DevOps.

Visa is seeking a Senior Consultant Data Engineer to design, enhance, and build their Visa data token platform. The role involves full-stack development of real-time scoring services, RESTful APIs, and container-based distributed services, incorporating machine learning and deep learning technologies. Responsibilities include developing next-generation software, building end-to-end products with an emphasis on code quality, and driving innovation. The role requires expertise in big data engineering (Hadoop, Spark, Scala), Java, Spring Boot, React, containerization (Docker, Kubernetes), and experience in developing ETL processes and productizing AI/ML models.

Software Engineer role at Visa, focusing on architecting, designing, coding, testing, and maintaining payment products. Requires extensive experience in Java/J2EE, microservices, APIs, and databases. Includes a strong understanding of generative AI models and their application to improve software engineering and developer productivity, alongside traditional enterprise software development practices.

The Senior Manager, VOCC VAS DPS Forward leads a 24x7 operations team responsible for real-time monitoring, support, and restoration of debit transaction processing. This role drives the adoption of AI, automation, and intelligent monitoring to reduce manual toil, prevent incidents, and improve response quality and speed. Success requires leadership, technical proficiency, and ITIL practices, with a focus on achieving availability targets above 99.999%.

Visa is seeking a Data Scientist to join their Global Data Science group. The role involves leveraging Visa's extensive transaction data to build creative solutions that impact business outcomes for partners and internal units. Responsibilities include extracting and analyzing data, developing custom data models and algorithms, using predictive modeling for optimization, and monitoring model performance. The role is focused on applying data science techniques to enhance customer experiences, revenue, and business strategies within the fintech domain.

Director of Software Engineering at Visa, leading teams in delivering secure, scalable, high-quality fintech applications. The role involves overseeing the full software development lifecycle, driving agile and DevSecOps practices, and ensuring integration with AI/ML capabilities while adhering to regulatory compliance. The position requires leadership, technical expertise, and hands-on coding up to 50-65% of the time, with a focus on coaching and developing engineering talent.

This Data Scientist role at Visa focuses on leveraging rich transaction and cardholder data to build creative solutions that impact business outcomes for partners and internal units. The role involves extracting insights, developing custom data models and algorithms, and using predictive modeling for optimization of customer experiences, revenue, and business strategies within the fintech domain. The position is primarily focused on shipping AI-powered products and solutions to customers or internal business units.

Staff Data Engineer at Visa, focusing on designing, implementing, and improving software applications and systems for the fintech sector. The role involves hands-on coding with data and modern tools, including AI-assisted development and cloud services, to deliver secure, scalable, and high-quality technology solutions. Responsibilities include translating requirements into architecture designs, writing and reviewing code, owning data products/pipelines, building automation tools, writing queries, ensuring data quality, and troubleshooting. Basic qualifications include experience in data pipelines, coding, testing, CI/CD, monitoring, and integrating AI/ML services. Preferred qualifications include experience with various data technologies, distributed systems, Gen AI, and cloud platforms.

Staff Data Engineer to design, enhance, and build Visa's data token platform, incorporating machine learning and deep learning technologies. Responsibilities include full-stack development of real-time scoring services, APIs, and container-based distributed services, ensuring high availability, security, scalability, and resilience. The role involves applying data engineering skills with Hadoop, Spark, and Scala, and mentoring team members.

Visa is seeking a Vice President of Gateway Services Products to lead a global engineering organization responsible for the front door into the Visa network. This role involves modernizing core processing platforms, evolving legacy access models to API-driven architectures, and embedding AI and automation to accelerate delivery and improve resilience. The VP will manage and mentor a large engineering team, ensure the implementation and support of mission-critical gateway and access platforms with zero downtime and high cybersecurity, and lead the strategy for next-generation access systems. A key focus is leveraging AI and automation for innovation and operational effectiveness, while building cross-functional partnerships and maintaining a total quality mindset.

Director of Software Engineering for Visa Commercial Payment Platforms (VCS) team, responsible for leading multiple engineering teams in designing, developing, and scaling applications. The role involves technical leadership in microservices, APIs, cloud frameworks, and full-stack web applications, with a focus on engineering excellence, modern practices, and talent development. While the role mentions using generative AI to improve development productivity, its core function is not AI/ML model development but rather the engineering and delivery of payment platform capabilities.

This role focuses on designing and developing Tableau dashboards and BI solutions for Visa's consulting and analytics arm, leveraging data from VisaNet and analytical capabilities. It involves data cleansing, wrangling, querying large datasets, and optimizing performance. The role also requires translating business requirements into visualizations and communicating results to stakeholders. While the role mentions leveraging Generative AI tools for efficiency, its core function is BI and data visualization, not direct AI/ML model development.