Top AI Jobs in Dublin

Design and implement AI solutions, optimize systems, collaborate cross-functionally, mentor engineers, ensure quality and performance in software development.

The Product Manager for AI/ML Solutions will manage product lifecycle, work in Agile teams, and improve business processes using AI/ML technologies.

The Product Manager will drive AI solution strategies, prioritize initiatives, and oversee the delivery of AI/ML products while ensuring stakeholder alignment and adoption in a hybrid work environment.

The Senior Software Engineer will lead application modernization initiatives, collaborate with cross-functional teams, develop tools, and provide strategic insights to improve customer engagement and product roadmap.

You will set the technical vision for Toast's AI Pod, leading complex initiatives, mentoring engineers, and collaborating on architectural strategies.

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

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.

The Director of Product Management will lead the strategy and execution for MongoDB's developer experience tools, manage product teams, and drive product improvements related to AI and developer engagement.

Lead development and deployment of advanced AI/ML solutions. Architect scalable ML systems, mentor engineers, translate stakeholder needs into technical designs, oversee data preparation, model deployment, performance tuning, and deliver measurable business impact.

Lead development and deployment of scalable AI/ML solutions, translate stakeholder needs into technical designs, oversee data integration and model performance, mentor engineers, and deliver production AI systems and visualizations on time and on budget.

Lead development and deployment of scalable AI/ML solutions. Translate stakeholder needs into technical designs, oversee data preparation, model development, deployment, performance tuning, and mentor engineers and data scientists.

Lead development and delivery of scalable AI/ML solutions, translate stakeholder needs into technical designs, oversee data integration and model deployment, mentor and review junior engineers, and manage performance and post-implementation reviews.

Lead design, development, and deployment of scalable AI/ML solutions. Translate stakeholder needs into models, oversee data preparation, mentor engineers, deliver production systems, and conduct performance reviews.

Lead and deliver end-to-end AI/ML solutions: design, build, deploy, and tune models; integrate and prepare data; translate stakeholder needs to technical solutions; mentor and review junior engineers; manage project timelines, budgets, and post-implementation reviews.

Lead development and deployment of scalable AI/ML solutions; architect models and data pipelines; mentor engineers and data scientists; translate stakeholder needs to technical designs; ensure model performance, integration, and post-implementation reviews.

Lead AI Engineer to design, develop, and deploy scalable AI/ML solutions. Lead projects from concept to production, supervise data integration and model performance, mentor engineers, and present outcomes to stakeholders. Work includes advanced ML, deep learning, NLP, generative AI, and MLOps.

Lead AI initiatives: architect and deploy scalable ML systems, translate stakeholder needs into AI solutions, oversee data integration and model performance, deliver AI-driven insights, and mentor engineers and data scientists.

The Lead AI Engineer will develop advanced AI solutions, mentor a team, and oversee machine learning initiatives, ensuring data readiness and translating stakeholder needs into AI-driven solutions.

Lead development and deployment of scalable AI/ML solutions, translate stakeholder needs into technical designs, oversee data preparation and model performance, mentor engineers, and deliver productionized models including advanced transformer and generative AI applications.

Lead enterprise-wide skills strategy to define taxonomies, proficiency, assessment, and skills-driven talent practices. Influence senior leaders, embed skills across talent lifecycle, translate workforce data into actionable workforce planning, shape Workday Skills Cloud use cases, and ensure ethical, inclusive AI and scalable skills solutions.

Lead an AI engineering team to develop, fine-tune, and deploy transformer-based and generative models for high-impact use cases. Translate models into scalable production solutions, partner with product and data teams, embed responsible AI practices, and ensure robust evaluation, performance optimization, and delivery oversight.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

The Senior Product Manager for Python Developer Experience will define strategy for MongoDB's Python tools and integrations, collaborate with teams, and enhance the developer experience.

Lead architecture, technical strategy, and implementation of AI agents for the Team (FinTech) area. Drive agent product delivery from design to production, collaborate with engineering and product leaders, mentor technical leaders, and be hands-on in development while spreading agentic development practices across the company.

As an AI Transformation Owner at GitLab, you will shape AI strategies, improve workflows, and drive adoption of AI solutions in your organization, working closely with an AI Engineer.