Mastercard jobs

Mastercard's AI Centre of Excellence is building the next generation of AI capabilities using large-scale transaction data, machine learning, and foundation models. This role focuses on applying machine learning, predictive modelling, and foundation-model representations to solve business problems at scale, such as forecasting, propensity modelling, recommendation systems, behavioural analytics, and customer intelligence. The Senior AI Engineer will partner closely with engineering, product, and business teams to bring innovative AI solutions from concept to production, transforming how AI solutions are developed by enabling teams to leverage reusable learned intelligence.

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The Business & Market Insights (B&MI) team within Mastercard's Services division creates products that help customers understand their market better. The B&MI Data Science team builds models and solutions using Mastercard transaction data and other sources for these products, at a globally scalable level. This role is for a Data Scientist who will work across Product, Client Services & Delivery, Data & Engineering, and broader teams to deliver differentiated products driven by analytics & AI, leveraging rich data resources, AI platform capabilities, and near real-time execution. The role is central to developing new products and capabilities using analytics & AI, from concept and technical design to market release and optimization, driving new ideas forward with creative thought leadership, innovation, and industry best practices.

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The Security Solutions Data Science team at Mastercard develops AI and machine learning capabilities to protect the global payments ecosystem from fraud and cyber threats. As a Senior AI Engineer, you will work at the intersection of big data engineering and AI/ML, focusing on building and supporting the data, features, models, and production processes essential for fraud detection. This role involves transforming high-volume data into reliable features for machine learning models and ensuring the robust deployment, monitoring, and improvement of these models in production environments.

$115k - $184k

Mastercard Foundry R&D is seeking a Principal Data Engineer to design and build the data foundations for advanced analytics, machine learning, generative AI, and agentic AI solutions. This role involves transforming R&D objectives into secure, scalable, and production-ready data systems, collaborating with cross-functional teams to create reusable data capabilities that accelerate innovation. You will be a hands-on technical leader responsible for the architecture, design, and engineering of scalable data platforms, ensuring reliability, performance, and cost efficiency.

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Mastercard Identity Verification is seeking a Senior ML Platform Engineer to join their Budapest team. This role focuses on building, developing, and maintaining internal platforms, tools, and distributed data processing capabilities to support reliable, production-grade machine learning workflows. The position is a blend of software, data, and ML engineering, aimed at creating internal capabilities that empower Data Scientists and Engineers to build, run, and enhance machine learning systems at scale. The ideal candidate is a skilled software engineer adept at solving complex data and ML engineering challenges, writing high-quality code, and constructing robust, scalable systems.

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Mastercard is seeking a highly skilled and passionate Tech Lead to drive the next generation of platform modernization, API transformation, cloud-native engineering, agentic workflow solutions, and AI-enabled product capabilities. The ideal candidate is a hands-on technical leader who can architect and deliver scalable enterprise systems while mentoring engineering teams, influencing technical strategy, and driving innovation across multiple initiatives. This role requires deep expertise in distributed systems, APIs, cloud technologies, AI-powered engineering, data platforms, and software delivery at scale. The successful candidate will play a critical role in shaping the future of Mastercard's intelligent platforms by combining strong technical leadership with exceptional execution capabilities.

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Mastercard's Business & Market Insights (B&MI) group is seeking a Principal Architect, Generative AI & ML Engineering, to lead the architecture vision and technical strategy for their agentic AI platform. This platform enables agents to make extensive tool calls into enterprise services and APIs, requiring secure, reliable, and scalable operation. The role involves setting standards for tool calling, multi-agent orchestration, self-correcting agents, memory, retrieval, and LLMOps, while making key decisions on models, platforms, and trade-offs. You will collaborate with engineering, product, security, and business leaders to shape the long-term direction of Gen AI within B&MI and mentor other architects and engineers, while also staying hands-on with prototypes to de-risk significant initiatives. The focus is on solving complex enterprise Gen AI challenges related to reliability, integration, security, and scale, leveraging experience in backend or distributed systems architecture applied to LLM systems.

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Mastercard's Business & Market Insights (B&MI) group is seeking a Senior AI Engineer specializing in Generative AI & ML Engineering for its Operational Intelligence Program. This role focuses on designing, building, and deploying production-grade agentic AI systems that leverage extensive tool calls into enterprise services and APIs. You will work on complex multi-step workflows, ensuring secure, scalable, and reliable results. The position involves deep engagement with agent orchestration, tool calling, memory management, retrieval, and LLMOps, aiming to set the engineering standard for Generative AI development and mentor other engineers. This is a hands-on role with a strong emphasis on backend engineering for individuals with significant experience in production services and LLM development.

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AI Solutions, part of Mastercard’s AI & Data organization, scales AI across the enterprise, moving use cases beyond pilots into trusted, production-grade capabilities embedded in Mastercard’s platforms and products. Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. You will be joining a team of AI and data engineers working on innovative AI and ML fraud solutions. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech and payments processing. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes. This role will be reporting to the VP of AI Engineering for AI Solutions.

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We are seeking an experienced AI Tech Lead to spearhead the design and development of scalable backend systems and production-grade AI applications. This is a hands-on technical leadership role that blends deep Python/backend engineering expertise with proven experience in building and deploying Generative AI applications and AI agents for end-user production environments. You will be instrumental in shaping the architecture of our AI-powered products, constructing robust backend services and agentic AI solutions, and guiding engineers in delivering reliable, high-performance systems at scale.

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Mastercard's Services division is seeking a Lead Data Scientist to join the Business & Market Insights (B&MI) team. This role is central to developing new products and capabilities driven by analytics and AI, leveraging rich data resources and AI platform capabilities. You will work across multiple teams, from concept and technical design to market release and optimization, driving new ideas forward with creative thought leadership and innovation. This is a rewarding opportunity to be part of a transformative strategic initiative, combining technical expertise with a customer-centric approach to solve complex business problems.

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The Transformation Team at Mastercard leads strategic change initiatives to reimagine how the company operates, scales, and accelerates business outcomes. This role will partner across leadership, product, technology, and operations to design and implement new organizational models, embed AI across key workflows, drive enterprise-wide transformation programs, and improve operating effectiveness. By combining strategy, AI engineering, organizational design, change management, and program execution, the team helps align people, processes, and priorities to support long-term growth and business performance.

$195k - $323k

Mastercard is seeking a Senior Software Engineer to join a new US-based Data & AI Platform team. This role will focus on solving shared data problems for Mastercard's analytics products, including secure data exchange, consistent business definitions, and AI-assisted data onboarding. You will be instrumental in making business definitions, metrics, and dataset relationships reusable across products, independently delivering key components, and establishing the team's engineering practices. The initial focus will involve prototyping solutions for metric versioning and data access enforcement, followed by shipping the first shared component.

$132k - $212k

Mastercard is seeking a Lead AI Platform Engineer to provide technical leadership in designing, implementing, and operating foundational platforms for AI and machine learning workloads. This role operates at the intersection of platform engineering, cloud infrastructure, MLOps, and AI operations, focusing on delivering scalable, secure, and reliable AI infrastructure. You will help shape the platforms, tooling, and operational practices for the next generation of AI capabilities, addressing complex challenges in scalability, reliability, observability, governance, and automation. The ideal candidate combines advanced software engineering and cloud platform expertise with experience supporting production AI/ML systems, and is passionate about technical leadership, automation, and building empowering platforms.

$168k - $277k

The AI Center of Excellence is seeking a Senior Principal AI Engineer to serve as a technical expert and thought leader for Mastercard’s enterprise AI infrastructure. This role will shape the architecture and engineering of secure, scalable, production-grade platforms supporting LLM model training and inferencing, machine learning models, large language models (LLMs), agentic AI, and emerging AI capabilities in production. The successful candidate will bring deep expertise in high-performance computing (HPC), GPU and accelerated computing, rack-scale systems architecture, private and hybrid cloud, Kubernetes, high-performance networking and storage, observability, security, and reliability. They will work closely with AI Engineers, Data Scientists, Platform Engineers, Security, Architecture, and Product partners to deliver resilient, cloud-native AI platforms in a highly regulated environment.

$254k - $407k

Mastercard's Operational Intelligence team is developing advanced data products and AI solutions to provide customers with novel ways to access and utilize operational insights. As AI agents transition from proof-of-concept to production, their real-time behavior, including context retrieval, skill selection, and exception handling, continuously evolves. These agents learn from production outcomes, necessitating active management of their reliability, safety, and trustworthiness beyond simple monitoring. This is the domain of AI Ops: ensuring agents' reasoning remains accurate, their context is up-to-date, and their behavior is governed as they learn.

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Mastercard is seeking a Lead Engineer to design and deliver scalable, enterprise-grade AI solutions that enhance our digital capabilities and customer experiences. This role will focus on building intelligent, production-ready systems leveraging large language models (LLMs), knowledge bases with vector search, and modern cloud/data platforms, while ensuring alignment with Mastercard’s standards for security, performance, and reliability. The Program Modernization team drives transformation and champions modernization across technology, risk, and service operations, establishing the foundation for scalable programs, resilient systems, and control governance.

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Mastercard's Business & Market Insights (B&MI) group is seeking a Lead Forward Deployed Engineer (AI) to join their Operational Intelligence Program. This role bridges the gap between clients and product development, focusing on validating AI solutions against business problems before production code is written. You will embed with clients to understand their workflows, identify opportunities for AI-driven value, and deliver clear, evidence-backed briefs to product and engineering teams. Your primary deliverable is clarity and validated insights, not production code, ensuring that investments are made in solutions that demonstrably solve business needs.

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Mastercard is seeking a Senior Software/AI Engineer to join their AI & Decision Product Enablement team in Vancouver. This role is crucial for advancing Mastercard's Sanctions Screening solutions by building scalable, high-performance services that assist financial institutions in managing sanctions risk, ensuring regulatory compliance, and facilitating secure payment processing. The position offers a chance to work on a highly visible platform and influence the adoption of AI-enabled engineering practices across the organization. The engineer will design, develop, and support business-critical software systems at a global scale, collaborating with various teams to deliver reliable, secure, and innovative solutions.

CA$111k - CA$160k