Top Tech Jobs & Startup Jobs in Dublin

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.

Leads hands-on development of AI and agentic systems for Mastercard’s consulting-focused AI platform. Designs and delivers reusable services, integrations, APIs, workflows, data pipelines, knowledge-base capabilities, and orchestration layers. Provides technical direction, reviews code, mentors engineers, coordinates vendors, and ensures secure, scalable, reliable production solutions. Partners across product, business, architecture, data, and engineering teams to implement LLM, retrieval-augmented generation, and agent workflows while supporting migration, governance, FinOps, and responsible AI practices.

Lead hands-on development of secure, scalable AI and agentic platform capabilities. Responsibilities include integrating LLMs, AI services, workflow engines, knowledge bases, APIs, data pipelines, and orchestration layers; translating architecture into production solutions; leading technical delivery; reviewing code; mentoring engineers; coordinating vendors; and ensuring reliability, security, privacy, compliance, and scalability.

Leads hands-on development of AI and agentic systems for Mastercard’s consulting-focused AI platform. Designs and delivers scalable services, APIs, workflows, integrations, data pipelines, knowledge-base capabilities, and reusable AI patterns. Provides technical direction, reviews code, mentors engineers and vendors, supports migrations, and ensures production solutions meet security, privacy, reliability, compliance, and scalability standards. Partners across product, business, architecture, data, and engineering teams to deliver applied AI capabilities.

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 and product priorities into production solutions, guide engineers and vendors, review code, mentor junior staff, and ensure reliability, security, privacy, compliance, and cost effectiveness. Partner across product, business, data, architecture, and engineering teams to deliver reusable AI capabilities and support organizational transformation.

Lead the design and development of secure, scalable AI platforms and agentic systems for Mastercard’s consulting organization. Responsibilities include integrating LLMs, AI services, workflow engines, knowledge bases, vector search, and orchestration platforms; building APIs, services, data pipelines, and reusable agent workflows; translating architecture into production solutions; guiding engineers and vendors; reviewing code; mentoring team members; and ensuring reliability, security, privacy, compliance, and operational readiness.