Top Tech Jobs & Startup Jobs in Dublin

Design and evolve Mastercard’s product experiences and scalable design system for AI-driven business solutions. Create high-fidelity designs, reusable components, user flows, journey maps, prototypes, and proof-of-concepts. Collaborate with researchers, product managers, engineers, and designers to align experiences with product strategy, technical constraints, user needs, and business objectives. Apply human-centered and atomic design principles while using AI-assisted tools and rapid prototyping approaches to improve ideation, conversion, engagement, and design efficiency.

Design end-to-end user experiences for Mastercard Crypto Solutions, translating complex risk, compliance, and security signals into intuitive workflows. Responsibilities include user research, journey mapping, wireframing, prototyping, high-fidelity design, usability testing, presentations, and collaboration with Product, PMT, Engineering, and Data Science teams. The role contributes to product-feature design and applies design systems, UX best practices, and generative AI tools.

Design end-to-end user experiences for Mastercard’s crypto risk, compliance, and security products. Responsibilities include user research, journey mapping, user flows, wireframes, prototypes, high-fidelity designs, usability testing, stakeholder presentations, and collaboration with Product, PMT, Engineering, and Data Science teams. The role translates complex financial crime and digital asset signals into intuitive customer experiences while applying design systems and Mastercard design standards.

Lead the design and operation of Mastercard’s enterprise AI platform, including model serving, inference APIs, vector databases, feature stores, governance, observability, and self-service capabilities. Manage and mentor AI engineers while defining platform strategy and technical roadmaps. Establish MLOps and LLMOps standards, build cloud-native infrastructure, and ensure scalability, reliability, security, compliance, and cost efficiency. Partner with data scientists, security, architecture, and product teams to productionize AI and generative AI solutions across the enterprise.

Lead the design and operation of Mastercard’s enterprise AI platform, including model serving, inference APIs, feature stores, vector databases, governance, observability, and developer self-service. Manage and mentor AI engineers, establish MLOps and LLMOps standards, drive cloud-native infrastructure and reliability, and partner with architecture, security, data, product, and data science teams to productionize scalable, secure AI and Generative AI solutions.

Lead the design and operation of an enterprise AI platform supporting production AI and Generative AI solutions. Manage and mentor AI engineers, define platform roadmaps, build shared services such as model serving and vector databases, establish MLOps and LLMOps standards, and ensure security, governance, reliability, scalability, and cost efficiency across cloud-native infrastructure. Partner with architecture, security, data, product, and data science teams to accelerate enterprise AI adoption.

Design next-generation AI-driven product experiences and business solutions. Responsibilities include contributing to design systems, creating reusable components, developing high-fidelity designs, prototyping MVPs, mapping user journeys, collaborating with product and engineering teams, and improving customer experience through human-centered and atomic design principles.

Design end-to-end user experiences for Mastercard’s crypto risk, compliance, and security products. Conduct user research, define problems, create user flows, wireframes, prototypes, and high-fidelity designs, then validate concepts through usability testing. Collaborate with Product Managers, PMTs, Engineers, and Data Science to translate customer needs into intuitive digital products. Present concepts to stakeholders and support feature design from conception through development while applying design systems and Mastercard standards.

Lead the design and operation of Mastercard’s enterprise AI platform, including model serving, inference APIs, vector databases, MLOps, LLMOps, governance, observability, and cloud-native infrastructure. Manage and mentor AI engineers, define the technical roadmap, productionize AI and generative AI solutions, and ensure platform security, scalability, reliability, compliance, and cost efficiency across the enterprise.

Design end-to-end user experiences for Mastercard Crypto Solutions, simplifying complex risk, compliance, and security information into actionable experiences. Responsibilities include user research, journey mapping, user flows, wireframes, prototypes, high-fidelity designs, usability testing, stakeholder presentations, and close collaboration with Product, PMT, Engineering, and Data Science teams.