Top AI Jobs in Dublin

Investigate AML alerts and transaction monitoring cases, file SARs/STRs when appropriate, support law enforcement and partners, conduct screening and adverse media checks, improve detection models with policy and data teams, and train/mentor TM analysts.

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 data pipelines and products to support foundation model training, inference, and evaluation. Ensure data quality, lineage, governance, and performance across batch and streaming workloads; enable feature engineering and feature stores; mentor engineers and drive delivery with platform and product teams.

Lead design, build, and operate scalable data pipelines and data products for foundation-model training, inference, and evaluation. Ensure data quality, lineage, governance, and performance; enable feature engineering and training datasets; collaborate with AI, platform, and product teams; mentor engineers and oversee delivery.

Lead design, build, and operate scalable data pipelines and products for AI foundation models. Own ingestion, batch and streaming transforms, feature engineering and training datasets, ensure data quality, lineage, governance, performance tuning, and secure access. Collaborate with AI, platform, and product teams, lead technical reviews, mentor engineers, and contribute to program planning and delivery.

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 model training, inference, and evaluation. Own ingestion, transformation, streaming and batch patterns, feature engineering support, data quality, lineage, governance, and performance optimization. Collaborate with AI, platform, and product teams, lead technical reviews, mentor engineers, and contribute to program planning and delivery oversight.

Lead design, build, and operate scalable, governed data pipelines and products for AI model training, inference, and evaluation. Partner with AI engineers, ensure data quality, lineage, governance, and performance; mentor engineers and drive delivery.

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 for foundation model training, inference, and evaluation. Own ingestion, transformation, batch/stream processing, feature engineering, data quality, lineage, governance, and performance tuning. Collaborate with AI, platform, and product teams to ensure production readiness, security, and observability. Provide technical leadership, code/design reviews, mentoring, and delivery planning across the program.

Lead design, build, and operate scalable data pipelines and products for AI model training, inference, and experimentation. Ensure data quality, lineage, governance, and performance; enable feature engineering and feature stores; collaborate with AI, platform, and product teams; mentor engineers and oversee delivery.

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.

As a Principal Software Engineer, you will lead full-stack design of AI solutions, drive architecture, mentor engineers, and collaborate across teams to solve complex problems at Toast.

Design and build tooling, services, and reusable patterns to apply generative and agentic AI to products and developer workflows. Implement AI-enabled apps and integrations, evaluate models and frameworks, improve developer experience through automation, and prototype and scale solutions in collaboration with product and engineering stakeholders.

Build and scale agentic AI tooling, services, and integrations. Design AI-enabled applications and developer workflows, evaluate models and frameworks, prototype products, and improve developer experience through automation and platform-level patterns.

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, improve developer experience via automation, and partner with stakeholders 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 and developer-facing workflows, evaluate models and frameworks, deliver prototypes to production, improve developer experience through automation, and collaborate with product and business stakeholders to scale AI solutions.

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 to improve developer experience, and collaborate across product and engineering to prototype and scale solutions.

Design and build agentic and generative-AI applications, tooling, and reusable platform services. Evaluate models and frameworks, implement developer-facing workflows, improve developer experience, and partner across product and engineering to prototype and scale AI-enabled solutions.

The Senior Software Engineer will develop AI-enabled applications and tooling, ensuring scalability and usability while collaborating with product and engineering teams.

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, create developer-facing capabilities, improve automation and CI/CD, and partner with stakeholders to prototype, validate, and scale AI solutions.

Build and ship Agentic AI tooling, services, and reusable patterns for production. Design AI-enabled applications, evaluate models and frameworks, improve developer experience, and collaborate with product and business stakeholders to prototype and scale AI solutions.

Design and build Agentic AI tooling, services, and reusable patterns to enable AI-enabled applications and developer workflows. Implement AI-enabled apps, evaluate models and frameworks, improve developer experience via automation, and collaborate with product and engineering stakeholders to prototype, validate, and scale solutions across Mastercard.

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, improve developer experience via automation, and partner across teams to prototype and scale solutions.

Design, build, and operate production-grade AI and agentic systems. Implement model serving, monitoring, evaluation and retraining. Partner with data scientists to productionize models, ensure reliability, security, and governance, and collaborate with platform and infrastructure teams to ship scalable ML/AI services and APIs.