Top AI Jobs in Dublin

Lead strategic product domains for Mastercard's next-generation disputes platform, define roadmaps, prioritize investments, and scale AI-enabled capabilities across engineering, data science, and design teams to improve dispute resolution, automation, and customer outcomes.

Lead product strategy and execution for Mastercard's next-generation disputes platform. Define domain vision, prioritize roadmaps, drive AI-enabled automation and predictive decisioning, partner with engineering, data science, and stakeholders, and influence executive investment to scale platform capabilities and improve customer and operational outcomes.

Build tooling, services, and reusable patterns to apply generative and agentic AI across products. Design, implement, and evaluate AI-enabled apps and developer workflows; improve developer experience via automation and platform capabilities; partner with stakeholders to deliver prototypes to production and share best practices across Mastercard.

Build and ship AI-enabled applications, tooling, and platform capabilities for agentic AI. Design reusable services, evaluate models and frameworks, improve developer workflows, and partner across product and engineering to prototype and scale AI solutions.

Design, build, and scale agentic and generative AI tooling, services, and developer-facing platforms. Implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with product and business stakeholders to prototype and productionize solutions.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications and integrations, evaluate models, develop prototypes from concept to validation, and improve developer experience through automation and platform capabilities while partnering with product and business stakeholders.

Design and build Agentic AI tooling, services, and reusable patterns. Implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, develop frontend (React/Next.js) and backend (Java/Python) systems, improve developer experience via automation and CI/CD, and partner with stakeholders from prototype to validation while sharing best practices.

Design and build Agentic AI tooling, services, and reusable patterns; implement AI-enabled applications and developer-facing capabilities; evaluate models and frameworks; improve developer experience via automation; partner across product and engineering to prototype and scale AI solutions.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and deliver prototypes to production in collaboration with product and engineering stakeholders.

Build and ship Agentic AI tooling, services, and integrations that enable teams to prototype, validate, and scale AI-enabled products. Design orchestration, tool-calling, context management, and developer-facing workflows; evaluate models and frameworks for quality, cost, latency and reliability. Partner with product and engineering stakeholders to deliver reusable, production-grade patterns and improve developer experience through automation and platform thinking.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with stakeholders to prototype and scale production solutions.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, orchestrations, and integrations; evaluate models and frameworks; develop prototypes to production; improve developer experience through automation and platform thinking; partner across product, engineering, and business stakeholders.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, evaluate models and frameworks, develop integrations and automation, improve developer experience, and partner with stakeholders to prototype and scale AI solutions.

Design, build, and maintain secure, scalable employee-facing software and AI-enabled tooling. Lead implementation of AI-assisted engineering practices, collaborate cross-functionally, apply CI/CD and cloud-native patterns (preferably AWS), and ensure resiliency, security, and validation standards across the SDLC.

As a Principal Software Engineer, you will architect and lead AI Foundations projects, mentor engineers, and ensure quality standards across the AI platform.

Lead and develop globally distributed Data and AI teams to deliver production Data/AI solutions. Drive talent development, operational excellence, stakeholder alignment, and responsible AI practices while partnering with Product and Engineering to set priorities, roadmaps, and delivery metrics.

Lead design, develop, and deploy Java-based microservices for a high-traffic B2B payments platform. Apply 12-factor principles, cloud (AWS/Azure), CI/CD, containerization, and performance optimization. Collaborate with product, TPMs, and QA, perform code reviews, and ensure security and architecture compliance.

Lead design, development, and deployment of scalable Java microservices for a high-traffic B2B payments platform. Apply 12-factor principles, CI/CD, containers, cloud (AWS/Azure), and automated testing. Collaborate with product, TPMs, and QA; perform code reviews; ensure performance, security, and adherence to enterprise standards.

Lead design, development, and deployment of high-quality Java microservices for a scalable, cloud-ready B2B payments platform. Collaborate in Agile teams, apply 12-factor principles, own code reviews, CI/CD, containerization, performance optimization, and ensure compliance with security and enterprise architecture standards.

Lead design, build, and deploy Java-based microservices for a scalable B2B payments platform. Apply 12-factor principles, optimize performance, participate in full SDLC, perform code reviews, and collaborate with product, TPMs, and QA to meet enterprise security and architecture standards.

Lead design, develop, and deploy high-quality Java microservices following 12-factor principles. Collaborate with product, TPMs and test engineers across the SDLC, perform code reviews, support CI/CD, containerization, optimize performance and ensure compliance with security and architecture standards.

Lead design, develop, and deploy scalable Java microservices for a global B2B payments platform. Collaborate with product, TPMs, and QA across the lifecycle, apply 12-factor and cloud-native principles, optimize performance and reliability, perform code reviews, and drive engineering best practices and compliance.

Lead design, develop, and deploy high-quality Java-based microservices for a global B2B payments platform. Apply 12-factor and cloud principles, collaborate across product and engineering teams, perform code reviews, support CI/CD and containerized deployments, ensure security and compliance, optimize performance, and mentor engineers throughout the development lifecycle.

Lead design, develop, and deploy high-quality Java microservices for a scalable, cloud-ready B2B payments platform. Collaborate across Agile teams, perform code reviews, ensure security and architecture compliance, optimize performance, and support CI/CD, containerization, and automated testing practices.

Lead design, develop, and deploy high-quality Java microservices for a scalable, cloud-ready B2B payments platform. Participate across the SDLC, perform code reviews, optimize performance, and collaborate with product, TPMs, and test engineers while ensuring security and enterprise standards.