Top AI & Machine Learning Jobs in Dublin

Conduct analytic research for Mastercard’s Test & Learn platform, developing novel data science methods and scalable solutions for business challenges. Collaborate with product management and engineering to translate analytical ideas into products, influence commercial decisions using high-volume datasets, and identify innovative customer solutions. The role requires expertise in machine learning, causal inference, generative or agentic AI, strong business acumen, cross-functional communication, project management, and mentoring.

Lead hands-on development of secure, scalable AI and agentic platform capabilities. Design and integrate LLMs, AI services, workflows, knowledge bases, APIs, data pipelines, and orchestration layers. Translate architecture into production solutions, guide engineers and vendors, conduct design and code reviews, mentor team members, and ensure reliability, security, privacy, compliance, and scalability. Collaborate across product, business, data, architecture, and engineering teams to deliver reusable AI capabilities.

Leads hands-on development of AI and agentic systems for Mastercard’s consulting-focused AI platform. Designs and delivers scalable services, APIs, workflows, integrations, knowledge-base capabilities, and reusable AI components. Provides technical direction, reviews code, mentors engineers, coordinates vendors, and translates architecture into production-ready solutions. Partners across product, data, business, and engineering teams while ensuring security, privacy, compliance, reliability, scalability, and operational readiness.

Leads hands-on development of AI and agentic platform capabilities, integrating LLMs, AI services, workflow engines, knowledge bases, APIs, and data pipelines. Translates architecture into secure, scalable production solutions; guides engineers and vendors; conducts design and code reviews; mentors team members; manages technical risks and trade-offs; and partners across product, business, data, architecture, and engineering teams to deliver reusable AI capabilities aligned with security, privacy, reliability, compliance, and scale requirements.

Leads hands-on development of AI and agentic systems for Mastercard’s consulting-focused AI platform. Designs scalable services, integrations, workflows, data pipelines, and reusable agent capabilities; integrates LLMs, AI services, orchestration platforms, knowledge bases, and vector search. Provides technical direction, reviews code, mentors engineers, coordinates vendors, supports migrations, and ensures secure, reliable, compliant, production-ready solutions.

Leads hands-on development of AI and agentic systems, including LLM integrations, orchestration layers, workflows, knowledge bases, APIs, data pipelines, and reusable platform capabilities. Translates architecture into production-ready solutions, guides engineers and vendors, reviews code, mentors junior staff, and ensures security, privacy, reliability, scalability, and compliance. Partners across product, business, data, architecture, and engineering teams to deliver AI-enabled consulting capabilities.

Leads hands-on development of scalable AI and agentic platform capabilities. Designs and delivers services, integrations, workflows, APIs, data pipelines, knowledge-base enhancements, and orchestration layers. Provides technical direction, reviews designs and code, mentors engineers, coordinates vendors, and ensures production solutions meet security, privacy, reliability, compliance, and scalability standards. Partners across product, business, architecture, data, and engineering teams to implement LLM-powered solutions and modernize existing components.

Leads hands-on development of secure, scalable AI and agentic platform capabilities. Designs and delivers reusable services, APIs, workflows, integrations, data pipelines, knowledge-base functionality, and orchestration layers using LLMs and modern AI tooling. Provides technical direction, reviews code, mentors engineers and vendors, supports architecture migration, and partners across product, business, data, and engineering teams. Ensures production readiness, security, privacy, compliance, reliability, scalability, and responsible AI practices.

Lead hands-on development of AI and agentic systems for Mastercard’s consulting-focused AI platform. Responsibilities include designing scalable services, APIs, workflows, integrations, data pipelines, orchestration layers, and reusable AI capabilities. The role provides technical direction, code reviews, mentoring, architecture guidance, and cross-functional coordination while ensuring security, privacy, compliance, reliability, and production readiness. It also supports LLM integrations, knowledge bases, retrieval-augmented generation, cloud data platforms, migrations, and responsible AI practices.

Leads hands-on development of AI and agentic platform capabilities, including LLM integrations, orchestration layers, knowledge bases, APIs, workflows, and data pipelines. Translates architecture and product priorities into scalable production solutions, guides engineers and vendors, reviews designs and code, mentors junior staff, and ensures security, privacy, reliability, compliance, and operational excellence. Partners across product, business, data, architecture, and engineering teams to deliver reusable AI capabilities and support consulting transformation.