Visa

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 Senior Product Manager to lead the development of their data integration platform and own the Dispute Management product. This role focuses on post-purchase solutions, integrating diverse data sources, and leveraging AI/ML for automation, anomaly detection, and data quality improvements. The Product Manager will define strategy, drive execution, and collaborate across teams to build scalable and resilient integration frameworks, with a focus on real business impact from AI.

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.

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 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.

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.

Visa's Cyber Security team is seeking a Cybersecurity Engineer with IAM expertise to drive innovation in IAM processes using AI/ML and GenAI technologies. The role involves developing scripts and workflows to automate IAM tasks, assisting in building and maintaining AI/ML models for IAM control/process gap detection and optimization, and ensuring security and operational efficiency. The candidate will collaborate with global teams, implement Zero-Trust principles, onboard applications into IAM governance, and use analytics tools to identify access-risk patterns.

Visa's Cyber Security team is seeking an Associate Cyber Security Engineer to leverage AI/ML and GenAI technologies in Identity and Access Management (IAM) processes. The role involves collaborating with global teams, implementing Zero-Trust principles, onboarding applications, using analytics tools for risk identification, developing automation scripts, assisting in building AI/ML models for gap detection, and supporting operational excellence and stakeholder collaboration. The engineer will also perform manual validation, maintain risk documentation, and assist with audits.

Visa's Cyber Security team is seeking a Cybersecurity Engineer with IAM expertise to drive innovation in IAM processes using AI/ML and GenAI technologies. The role involves automating IAM tasks, building and maintaining AI/ML models for gap detection and optimization, and ensuring security and operational efficiency. The candidate will collaborate with global teams, implement Zero-Trust principles, onboard applications, and use analytics tools for risk identification. Responsibilities include developing scripts, testing automation solutions, ensuring continuous enforcement of IAM controls, automating compliance reporting, and supporting audits.

Visa is seeking an experienced IAM Engineer to join its Warsaw-based Center of Excellence. This role will deliver advanced, AI-driven identity governance solutions, lead key IAM engineering initiatives, mentor junior team members, and work on complex enterprise-scale projects integrating Zero-Trust principles, automation, and evolving compliance requirements. Responsibilities include leading technical execution of application onboarding into IAM governance, utilizing analytics tools to identify access-risk patterns, developing and implementing AI/ML and automation solutions for IAM processes, and mentoring junior engineers in building AI models for IAM control gap detection. The role also involves maintaining IAM-related risk and control documentation in line with SOX, GDPR, PCI-DSS, and assisting in audit preparation.

Lead Data Engineer responsible for developing next-generation enterprise-level data pipelines and data assets for Real Time and Batch Data ingestion and processing, incorporating Agentic AI to support Visa's 2030 strategy. This role involves overseeing the data lifecycle, leading design and implementation, ensuring data security and compliance, and championing the adoption of GenAI and Agentic AI technologies. The role also includes hands-on development, POCs, establishing engineering best practices, and providing tech leadership and mentoring.

Visa's Cyber Security team seeks an Associate Cyber Security Engineer to combine IAM expertise with AI/ML and GenAI for automating and enhancing IAM processes. The role involves developing scripts, building AI/ML models for gap detection, and testing automation solutions, while also performing core application access governance and collaborating with stakeholders. Requires strong scripting skills (Python) and experience with AI/GenAI in IAM.