Visa

Senior Director, Product Management role focused on leading product strategy and delivery for voice and chat solutions, driving the execution of Digital and AI capabilities for client care transformation. This role involves defining roadmaps, requirements, and overseeing the delivery of GenAI and agentic voice/chat solutions, partnering with technology and client care teams.

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.

Lead Data Scientist at Visa, focusing on AI/ML for payment solutions. The role involves defining, building, and testing AI-powered products at scale, driving efficiencies, and ensuring operational excellence within a regulated fintech environment. Responsibilities include technical leadership, mentoring, data wrangling, complex modeling, and advising on technical specifications to shape the future of digital payments.

Seeking a Sr. Cybersecurity Engineer to design, build, and operate AI-driven security platforms. The role involves applying GenAI and autonomous agents to security challenges, including autonomous agents for cloud misconfiguration analysis, AI-assisted threat triage, and building agentic systems for remediation. Responsibilities include cloud security engineering, automation, and policy-as-code.

Visa is seeking a Data Scientist to join their Global Data Science group. The role focuses on leveraging Visa's extensive transaction data to build creative solutions and drive business outcomes for partners and internal units. Responsibilities include developing custom data models, predictive modeling for customer experiences and revenue optimization, and deploying machine learning models at scale within the fintech domain. The role requires strong analytical, programming (Python, SQL), and communication skills, with experience in big-data technologies and ML model deployment.

Technical Product Manager to lead the design, development, and deployment of AI agents that automate and optimize business processes across product operations, implementation, and product delivery. This role will drive enterprise-wide automation initiatives, leveraging advanced AI and agentic technologies.

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.

Product Analyst role on a Generative AI Platform team at Visa, focusing on defining, building, and scaling AI capabilities. The role involves requirements definition, analysis, execution support, and platform adoption, with exposure to large-scale AI platform development, governance, and scaling within a global organization. It requires collaboration across product, data, and engineering, and emphasizes understanding user behavior, product metrics, and LLM performance.

Product Manager role focused on designing and delivering agentic commerce solutions within B2B payments, leveraging virtual cards, APIs, and data to enable AI-driven procurement and payment automation. The role involves client-facing solution design, translating business models into payment architectures, and collaborating with internal teams to influence product roadmaps.

Product Manager for Visa's AI Observatory, focusing on building a platform to monitor, assess, and report on the performance, risks, and compliance of AI systems. This role requires collaboration with engineering and data science teams, defining requirements, establishing KPIs, and tracking regulatory changes to ensure responsible AI deployment within a regulated fintech environment.

Senior Manager for External Data Products at Visa, focusing on building and scaling client-facing commercial data and AI-powered products. The role involves owning product strategy, lifecycle management, and driving the definition and delivery of AI-enabled features in collaboration with data science and engineering teams. Requires strong executive presence and experience launching AI products to external customers in the fintech domain.

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 Senior Manager for their Fraud Risk Consulting practice in Mumbai, India. This role involves leading and delivering risk advisory services to clients (Issuers, Acquirers, Merchants) in the fraud risk space. Responsibilities include developing risk advisory capabilities, creating pre-sales content, partnering with consultants and data scientists, establishing an IP risk repository, reengineering risk consulting methodologies, and collaborating with internal Visa functions to leverage and co-design risk products. The role also requires providing subject matter expertise and thought leadership through publications. Projects include risk diagnostics, authorization and STIP optimization, fraud strategy and process optimization, fraud risk prediction/scoring, fraud rule optimization, and developing enterprise fraud frameworks. The role emphasizes using risk expertise to unlock business value and navigate the evolving payment landscape.

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 Product Manager to lead the development of a data integration platform and own the Dispute Management product. The role focuses on post-purchase workflows, dispute lifecycle management, and integrations, leveraging AI/ML for automation, data quality, and intelligent mapping. Requires strong product strategy, data infrastructure understanding, and execution skills in a fintech domain.

Senior Director of Data Science for Visa Consulting & Analytics (VCA) in AuNZPI. This role leads and scales the data science capability, delivering high-impact analytics, data science, and AI-driven solutions for clients. It involves client impact, commercial leadership, people management, thought leadership in AI/ML, and project execution with a focus on governance and responsible AI use. The role requires translating data assets into measurable client impact and revenue growth, embedding data science into client strategy, and driving commercialization of AI capabilities.

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.

The AI Engineer will be the technical owner of AI agents, workflow automations, and generative tools to enhance seller productivity within Visa's Digital Sales organization. This role involves designing, developing, and deploying AI capabilities to reduce manual work, improve client engagement speed, surface insights, and strengthen the go-to-market engine. Responsibilities include building and maintaining AI agents, automating sales workflows, establishing AI technical standards and governance, and ensuring the continuity and evolution of AI tools, all while collaborating with various internal teams.

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 Sr. Data Scientist in Washington, DC to build and use predictive models for customer experiences, revenue generation, and advertising targeting. The role involves managing client relationships, providing technical leadership, applying data science techniques to unique datasets, and developing scalable products. Responsibilities include data workflow orchestration, statistical hypothesis testing, data visualization, leading projects from scoping to delivery, and mentoring junior team members. Requires experience with large datasets, ML model development, data automation (MLOps), statistical testing, and communication with non-technical stakeholders. Experience in the payments landscape is also required.

Visa is seeking a Consulting Manager with expertise in AI agentic systems and the payments industry to lead client engagements in Southern Europe. The role involves designing, evaluating, and deploying agentic AI workflows for enterprise clients, focusing on translating business logic and regulatory complexity into practical AI solutions. Responsibilities include client engagement, system design (prompt engineering, RAG, orchestration, guardrails), evaluation framework development, and advising on technology stacks. The position also involves business development, thought leadership, and mentoring junior consultants.

Data Scientist role at Visa focused on developing and implementing risk models, analyzing transaction data using big data technologies, and deploying/monitoring these models in production. The role involves statistical analysis, machine learning, and potentially deep learning and NLP for risk assessment and product insights within the fintech domain.

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.

Product Manager for AI-driven real-time payments fraud and scam prevention solutions at Visa. The role involves owning the end-to-end product lifecycle, defining strategy, working with ML experts and engineers, and leading the design, build, and deployment of new features. Focus on scaling AI products globally for financial institutions.

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.

Visa is seeking a Sr. Data Scientist to design, develop, and deliver personalization models and signals for AI products and services globally. The role involves executing data science capabilities in personalization, designing large-scale data science systems, applying advanced techniques for business impact, and working with cross-functional teams. Requires expertise in Deep Learning, Machine Learning, Recommendation Systems, Generative Models, Python, Spark, Scikit-learn, and deep learning libraries.

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.

Product Analytics Manager role focused on enabling data-driven decision-making for AI and Data Platforms within Visa Open Banking. The role involves partnering with Product Managers and Engineering to translate product usage data into insights that shape product strategy, commercial offerings, and customer outcomes. Responsibilities include building analytics solutions like dashboards and data models, driving impact analysis, and ensuring data quality. The role leverages analytics and AI where applicable, with a focus on measurable, optimized, and scalable products.

This role supports Platform Services (PaaS) by owning execution, operational follow-through, and outcome validation across complex, multi-team initiatives. It combines product judgment with hands-on technical contribution, including data analysis, dashboarding, light coding, and responsible use of Generative AI to improve developer experience and platform reliability.

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.