Top Tech Jobs & Startup Jobs in Dublin

Lead technology strategy and execution to build scalable AI and agentic platforms for Consulting. Partner with product, AI, data, and enterprise teams to enable agent orchestration, knowledge bases, finops/tokenops, commercialization, and productivity tooling for thousands of advisors.

Lead technology strategy and delivery for AI-enabled consulting platforms. Build and scale agentic and GenAI tooling (Claude, Copilot, Cowork), orchestration layers, knowledgebases, and FinOps/tokenops models. Partner with product, data, security, and business teams to commercialize AI, drive productivity at scale, and establish operating models and reusable agent libraries.

Lead technology strategy and delivery for enterprise consulting transformation, scaling GenAI and agentic platforms (Claude, Copilot, Cowork), enabling agent orchestration, AI knowledgebases, finops/tokenops, and reusable agent libraries. Partner cross-functionally with product, data, security, compliance, and business leaders to commercialize AI, drive productivity at scale, and build platform capabilities supporting thousands of consultants.

Lead technology for AI-enabled consulting transformation: define and execute AI engineering strategy, scale agentic workflows and productivity platforms (Claude, Copilot, etc.), enable commercialization, partner across AI, data, security, and business teams, and build reusable agent libraries, finops/tokenops, and integration layers to support thousands of advisors.

Lead and scale AI engineering and consulting platforms for Mastercard Consulting: define technology strategy, enable agentic workflows, integrate AI tools (Claude, Copilot), build reusable agent libraries, manage finops/tokenops, partner with enterprise AI, data, security, and business leaders to commercialize AI productivity and support thousands of consultants.

Lead technology strategy to scale AI engineering and consulting platforms. Build and integrate agent-enabled tooling (Claude, Copilot), orchestration layers, AI knowledgebases, finops/tokenops, and reusable agent libraries. Partner with product, AI, data, security, compliance, and business leaders to commercialize AI solutions, improve consultant productivity, and deliver enterprise-grade, scalable platforms.

Lead design, build, and operate scalable data pipelines and data products to support foundation model training, inference, and evaluation. Partner with AI and platform teams to enable feature engineering, ensure data quality, governance, lineage, and secure access. Drive best practices for modeling, partitioning, performance, monitoring, and CI/CD. Provide technical leadership, code/design reviews, mentoring, and program-level planning to ensure production-ready, reliable data for AI workloads.

Lead design, build, and operate scalable data pipelines and products to support foundation model training, inference, and evaluation. Ensure data quality, governance, lineage, and secure access. Partner with AI, platform, and product teams, drive best practices, conduct reviews, mentor engineers, and manage delivery risks for AI data needs.

Lead design, build, and operate scalable data pipelines and products to support foundation models and AI workloads. Own ingestion, transformation, feature engineering enablement, data quality, governance, and production readiness while mentoring engineers and ensuring enterprise standards.

Lead design, build, and operate scalable, governed data pipelines and products for foundation models and AI workloads. Partner with AI and platform teams to enable feature engineering, training/inference datasets, data quality, lineage, and secure access. Provide technical leadership, code/design reviews, mentoring, and delivery planning across cloud-native distributed data environments.