Visa

This role focuses on developing and deploying deep learning models for user behavior profiling and using GenAI to create an agentic framework to enhance cyber investigation efficiency within Visa's Cyber Threat Analytics and Research team. The position involves analyzing cyber event logs, supporting existing models, and contributing to the design and engineering of analytical software and services for security automation.

Senior Data Scientist role focused on building and deploying AI/ML solutions for financial services, including predictive models, RAG components, agentic AI systems, and GenAI evaluations. The role involves technical leadership, client engagement, and mentorship.

This role focuses on developing and implementing sophisticated machine learning and Generative AI models for cyber threat analytics and research. Key responsibilities include analyzing cyber event logs, formulating threat scenarios into data problems, devising deep learning models for user behavior profiling, feature engineering, and utilizing GenAI for auto-triaging anomalous behavior and creating agentic agents to enhance investigation efficiency. The role involves working with large datasets, big data technologies like Spark, and building analytical software and services.

Visa is building a new Payments Foundation Models team to develop next-generation AI models for fraud and identity solutions, with potential applications in credit risk and personalized commerce. The Senior Data Scientist will train, evaluate, and document these models, collaborating with cross-functional teams to improve their quality and adoption. This role involves hands-on development, end-to-end data processing, deep learning model training (self-supervised, fine-tuning), and ensuring models navigate risk management processes. The position also includes leading deployment, collaborating with data engineers, communicating insights, and mentoring junior team members.

Staff Engineer GenAI Developer role at Visa, focusing on building generative AI solutions for internal employee use cases like intent processing, RAG, agentic actions, and document summarization. The role involves technical leadership, architecture definition, hands-on development using Python and LangChain, cross-functional collaboration, mentorship, establishing best practices, agile project leadership, and ensuring responsible AI principles are followed. Requires expertise in Python, LangChain, Azure, and vector databases.

Visa is seeking a Data Scientist to join their Predictive Fraud Intelligence team. The role involves leveraging cutting-edge technologies, including Generative AI and deep learning, to create and implement sophisticated machine learning models for fraud detection. Responsibilities include analyzing transaction data, developing user behavior profiles, supporting existing models, maintaining operational pipelines, monitoring model performance, and building an agentic framework to enhance fraud detection efficiency. The role also involves collaborating with data scientists and engineers to develop analytical services and communicating findings to various stakeholders.

Senior Director of Engineering leading the technology strategy, solution, and execution for integrated risk and security platforms, with a focus on adopting Generative AI and Agentic AI to improve developer productivity and deliver AI-powered business solutions. The role involves leading engineering teams, defining cloud strategy, and ensuring modern engineering excellence in a highly regulated environment.

Staff Software Engineer focused on developing and leading the implementation of generative AI (GenAI) solutions at Visa. The role involves technical architecture, system design, hands-on development of GenAI components like LLM agent orchestration, RAG pipelines, prompt engineering, and model fine-tuning. It requires strong Python, LangChain, and Azure cloud expertise, with a focus on operationalizing AI systems and ensuring responsible AI principles.

Director of Machine Learning at Visa, focusing on payment fraud detection and prevention. The role involves leveraging generative AI for enhanced fraud detection models, creating synthetic data, simulating fraud scenarios, and defining the ML strategy. Responsibilities include leading the design, development, testing, and deployment of ML/DL models, supervising refresh cycles, and partnering with product and business stakeholders. The role emphasizes applying AI/ML to real-world payment risk problems.

Visa is seeking a Sr. Consultant Software Engineer to architect, design, and build scalable backend systems that integrate AI agents into Visa's enterprise infrastructure. The role involves integrating LLMs, building RAG pipelines, and developing agentic workflows using frameworks like LangChain. The engineer will also focus on scalability, reliability, and leadership within the AI platform development.

Visa is seeking an experienced Staff Machine Learning Engineer to join their AI Governance (AIG) Engineering team. This role will focus on building and delivering solutions for a Trustworthy AI initiative, specifically developing and enhancing the AI Observatory product. The engineer will design, develop, and maintain scalable AI governance services, ensuring compliance with ethical standards and regulatory requirements, and working with the latest Generative AI technology and agentic frameworks. The position involves applying robust architectural principles, investigating emerging technologies, and addressing AI governance issues such as bias, drift, risk, privacy, and security.

Senior Manager role focused on designing, prototyping, and leading the build of Agentic AI solutions for financial and merchant clients. This hands-on role involves translating client needs into agentic AI architectures, building proof-of-concepts, and overseeing end-to-end solution delivery, including data pipelines, LLM workflows, agents, and evaluation. Collaboration with cross-functional teams and third-party vendors is key.

Staff Software Engineer-AI Solutions at Visa, focusing on designing, implementing, and optimizing AI-powered solutions within the ServiceNow platform, leveraging Agentic and Generative AI, custom tooling, and third-party LLMs to enhance workflows and automate processes. The role involves integrating and orchestrating LLMs, collaborating with stakeholders, troubleshooting AI components, and architecting AI-driven solutions.

Staff Software Engineer focused on building AI solutions, specifically agentic and generative AI, integrated into the ServiceNow platform. The role involves designing, implementing, and optimizing AI-powered solutions, orchestrating third-party LLMs, and enhancing workflows for business outcomes. Responsibilities include developing custom tooling, integrating LLMs, collaborating with stakeholders, troubleshooting, and documenting solutions.

Lead the design, development, and deployment of GenAI solutions, including LLM integration, prompt engineering, RAG systems, and domain-specific model customization. Architect and build data-intensive analytical applications for real-time insights, predictive intelligence, and automated decisioning. Oversee enterprise-scale cloud-native applications, microservices architecture, and mentor engineering teams. Focus on AI/ML and GenAI initiatives within a fintech domain.

Lead the design, development, and deployment of GenAI solutions, including LLM integration, prompt engineering, RAG systems, and domain-specific model customization. Architect and build data-intensive analytical applications, partner with data engineering teams for scalable data pipelines and feature stores, and ensure analytical systems meet enterprise requirements. Architect cloud-native applications for large-scale workloads, oversee performance optimization, and ensure secure, compliant engineering practices. Design and evolve microservices architectures, implement robust inter-service communication, and guide engineers on scaling distributed services. Mentor engineering and data science teams, translate business goals into roadmaps, define best practices, and collaborate with product and security teams.

Senior Machine Learning Scientist at Visa to design, develop, and deploy next-generation AI/ML models for fraud detection, risk mitigation, and transaction monitoring in the payments ecosystem. The role involves full lifecycle ownership, research into emerging techniques, patent filing, and integrating models into production pipelines, with a focus on scalability, explainability, and robustness.

Staff ML Scientist at Visa to design, develop, and deploy next-generation AI/ML models for fraud detection, risk mitigation, and transaction monitoring in the payments ecosystem. The role involves full lifecycle ownership, research into emerging techniques, integration into production, and mentoring. Requires strong ML/DL fundamentals, production experience, and expertise in PySpark, PyTorch, and TensorFlow.

Machine Learning Engineer at Visa responsible for designing, building, deploying, and operating production-grade ML systems, including agentic AI systems, RAG pipelines, and multi-step agents. The role involves end-to-end ownership of ML models and services, MLOps practices, and engineering scalable APIs and serving layers, with a focus on NLP workloads at global scale.

Full-Stack Developer & GenAI Engineer responsible for designing, developing, and deploying scalable web applications enhanced with Generative AI capabilities. This role involves hands-on experience with LLM frameworks, orchestration tools, prompt engineering, and agent-based architectures to improve finance business functions. The candidate will own the end-to-end lifecycle of AI features, develop GenAI workflows like RAG and agent architectures, and mentor junior engineers.

Visa is seeking a Data Science Risk Manager to develop and implement predictive and prescriptive models for credit, fraud, and operational risks. The role involves creating context-based prototypes, high-impact storyboards, and advanced AI-based prediction algorithms, while collaborating with cross-functional teams and ensuring adherence to model risk management and privacy standards. Experience in model development and production within the payments industry is required.

Visa is seeking a Data Scientist with AI/ML experience to join their Global Data Science group. The role involves building predictive models, applying GenAI techniques to transaction data, and developing agentic AI systems for payment decisioning. The position requires experience with LLM orchestration frameworks, vector databases, and embedding models, and will leverage AI coding tools to accelerate development. The role is focused on applying AI/ML to innovate and optimize customer experiences, revenue generation, and business outcomes within the fintech domain.

This role involves working with AI and Linux systems, focusing on building and deploying agentic workflows, traditional ML models, and deep learning/LLMs. The engineer will design, build, and maintain agentic workflows, deploy models as APIs, and integrate them with existing applications. Responsibilities include data preparation, model training, evaluation, and implementing orchestration around tools and plugins, as well as supporting Linux systems.

Senior Software Engineer role focused on developing and implementing Generative AI solutions using Java and Python, collaborating with data scientists, and utilizing LLMs for NLP and generative AI tasks within Visa's Corporate Applications & Intelligence (CAI) Technologies team.

Visa is seeking a Manager for their Risk Advisory Practice, focusing on Fraud Risk. The role involves delivering Fraud Risk advisory services to clients, developing data-driven fraud risk solutions (including prediction/scoring models), and optimizing fraud strategies. The ideal candidate will have strong analytical experience, proficiency in statistical techniques and programming tools (SAS/Hadoop/SQL/Python), and experience in fraud risk analytics within the banking or consumer lending industry.

Staff Software Engineer to design and build scalable backend systems for Visa's Agentic AI Platform, integrating AI agents into enterprise infrastructure. Responsibilities include architecting multi-agent orchestration, RAG, and LLM integration using Java/Python, ensuring scalability, reliability, and leading engineering practices.

Staff Software Engineer to lead the design, development, and evolution of a central orchestration and governance layer (MCP) for Legal GenAI and agentic workflows. This role will establish the MCP as a productized internal platform, define APIs, and enable GenAI platforms to securely invoke enterprise legal tools and datasets.

Senior Data Scientist at Visa focused on building and enhancing AI/ML models for AML & Sanctions Compliance, specifically for Sanctions Screening. The role involves data analysis, model development using techniques like fuzzy matching and NLP, tuning model logic, monitoring performance, and collaborating with various teams to ensure model accuracy and compliance in a regulated environment.

Senior Consultant Software Engineer to lead a team in designing, developing, and deploying GenAI-powered applications, integrating them into Visa's ecosystem. This role requires a blend of architecture, leadership, full-stack development, cloud engineering, and GenAI framework expertise, focusing on building scalable AI systems and reusable components while defining best practices for prompt engineering, safety, and model governance.

Senior Data Scientist at Visa focusing on building and applying machine learning and generative AI models, including LLM orchestration, for financial services clients. The role involves understanding business problems, developing predictive models, and leveraging rich transaction data to drive business impact. Experience with the full data science lifecycle, including data engineering, and a strong understanding of modern analytic techniques are required.

Manager role focused on building and deploying advanced AI/ML models for Visa and its clients in the fintech domain, with a strong emphasis on credit risk and fraud prevention. The role involves working with large datasets, developing analytical solutions, and communicating complex concepts to stakeholders.

Lead Cybersecurity Engineer at Visa focused on designing, building, and operating AI-driven security platforms. The role involves applying GenAI and autonomous agents to security challenges like misconfiguration analysis, threat triage, and remediation, with a strong emphasis on automation and cloud security in a multi-cloud environment.

Staff Data Engineer at Visa focused on building and supporting GenAI solutions, including agentic workflows, RAG pipelines, and LLM endpoints. The role involves data engineering for these AI systems, supporting ETL processes, and ensuring the reliability and maintainability of GenAI architectures within a fintech domain.

Senior Data Engineer role focused on building and delivering GenAI solutions, including LLM endpoints, RAG pipelines, and agentic workflows. Responsibilities include prompt design, production support, documentation, and identifying automation opportunities using GenAI agents. Requires experience with LLMOps, vector databases, and agentic workflows.

Hands-on Data Science Manager (Individual Contributor) to design and deliver high-impact analytics and AI solutions, focusing on technical leadership and end-to-end ownership of complex problems using modern AI, cloud, and API-driven architectures. The role involves working with LLMs/GenAI, RAG, prompt engineering, and integrating models into production systems.

This role focuses on applying AI & ML techniques to enhance the reliability, availability, and performance of Visa's middleware infrastructure. The engineer will develop intelligent automation systems, integrate ML models, and improve monitoring/observability, working with AI/LLM frameworks. The role involves supporting middleware software, designing reliability solutions, and collaborating with data science teams. Experience with DevOps, cloud platforms, and programming languages like Python, Java, or Go is required, with AI/ML engineering experience being a plus.

Visa is seeking an experienced AI/ML Engineer to design, build, and scale next-generation artificial intelligence capabilities for Finance Technology, with a focus on the Source-to-Collections ecosystem. This role is centered on developing LLM-based applications, intelligent agents, AI-powered automation, scalable machine learning pipelines, and generative AI solutions that improve productivity, decision-making, process intelligence, and operational efficiency across Sourcing and Collections. The role is expected to be approximately 70% AI/ML-focused engineering and 30% core application development, automation, and platform integration.

Senior Data Scientist to join the Visa Acceptance Platform team, focusing on leveraging AI to enhance existing products and develop new ones for banking, fintech, and integration partners. The role involves defining, building, and testing AI-driven payment solutions, mentoring others, ensuring data quality and governance, and advising on technical specifications and architecture. Requires expertise in data science, agile delivery, and experience with complex integration projects, preferably in payments or high-volume transaction systems.

This role leads a Solution Architecture team focused on strategic partnerships with digital ecosystem partners and foundation model providers in Greater China. The primary responsibility is to translate cutting-edge AI and Agentic AI technologies into compliant payment and commerce solutions, co-creating end-to-end solution prototypes with clients and ensuring technical due diligence and risk mitigation for partnership projects. The role also involves monitoring regional technical trends and contributing to regional technical partnership strategies.

Senior Software Engineer (SDET) focused on building AI tooling and agents for QA automation, including intelligent test generation and failure analysis, within Visa's Cloud Platform team. The role involves designing and implementing automation frameworks, integrating AI solutions into CI/CD pipelines, and writing code in Java/Python.

Software Engineer role focused on leveraging AI, specifically agentic AI and LLMs, to solve complex engineering and customer challenges within Visa's Commercial and Money Movement Solutions organization. The role involves designing, architecting, and building AI-powered solutions to enhance developer productivity, improve customer experiences, and drive next-generation payment technology.

Director of Fraud Risk at Visa, responsible for leading and delivering fraud risk advisory engagements, developing data-driven fraud risk solutions (authorization, prediction, scoring), and expanding fraud risk managed services. Requires strong analytical experience, proficiency in statistical techniques and data analytics tools, and experience in fraud risk analytics and the banking/consumer lending industry.

Software Engineer role focused on building next-generation AI-powered platforms at Visa. This involves designing and delivering scalable data, infrastructure, and agent-driven systems for intelligent decision-making, production-grade GenAI platforms, distributed data pipelines, and autonomous workflow systems. The role requires strong programming skills, DevOps/infrastructure experience, and specific experience with GenAI/LLM systems including training, fine-tuning, RAG, vector databases, and agentic AI platforms.

Staff ML Scientist at Visa focused on building, training, testing, validating, and productizing machine learning models. The role involves implementing MLOps best practices, utilizing AWS SageMaker, and understanding model explainability. Experience with deep learning frameworks and model serving is required, with a focus on fintech applications.

Lead Architect to define and drive the vision for AI-native data foundations, a hybrid platform consolidating company data into a unified, governed, and intelligent data layer. This role sits at the intersection of data architecture, AI/ML, and product intelligence, shaping how data flows to AI-driven insights, powering dashboards, product analytics, AI agents, and executive decision-making.

Senior Staff Engineer role focused on AI Governance at Visa, building an 'AI Observatory' product to ensure responsible and trustworthy AI systems. The role involves designing, developing, and maintaining AI governance services, ensuring compliance with ethical and regulatory requirements, and working with generative AI technologies. It requires experience in software development, big data, ML, and agentic frameworks, with a focus on model lifecycle management, bias, fairness, and explainability.

Chief Software Engineer at Visa, focusing on defining and executing technology strategy, cloud-native architecture, and engineering excellence for AI-driven risk, fraud, authentication, and identity platforms. The role involves leading the enterprise adoption of Generative AI and Agentic AI for developer productivity and client-facing innovation, architecting high-throughput distributed systems, and establishing modern software engineering best practices.

Senior Director of Software Engineering to provide strategic and technical leadership for large-scale, distributed foundational services, focusing on defining long-term platform vision, driving cloud-native architecture, and ensuring delivery of highly available, secure, and performant systems. The role involves advanced knowledge and hands-on experience with Generative AI and Agentic AI, including integrating LLMs, vector databases, RAG, prompt engineering, and AI governance into production platforms.