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.

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.

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 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.

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.

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.