Top AI Jobs in Dublin

The Principal AI Product Manager will architect internal AI strategy, drive AI adoption across the organization, and interface with executives to transform fragmented AI usage into a unified, secure platform.

Staff Product Engineers in the AI Group build AI-powered products, collaborate with ML scientists, and ensure robust, scalable systems for customer service applications.

The AI Data Specialist role involves collecting, evaluating, and annotating data, including tasks like object tagging across various content types. Native Irish Gaelic fluency and advanced English proficiency are required.

The AI Architect will design and implement multi-agent systems, optimizing for business logic execution and performance, while integrating advanced technologies for AI operations.

The AI Engineer will develop multi-agent workflows and production RAG systems, managing deployment and monitoring of AI solutions leveraging various tools and frameworks.

Design and implement AI-powered internal tools for GTM use cases, managing full lifecycle from data modeling to production. Collaborate closely with GTM teams to translate data into actionable insights with a focus on measurable business impact.

The Staff AI Analyst will analyze AI features, conduct data analysis, support ML scientists, and visualize AI changes using various tools.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

As a Senior Product Engineer in AI, you'll build systems for AI products, collaborate with teams, and enhance product experiences while mentoring others.

As a Senior Product Engineer, you'll improve and maintain AI-powered products, collaborate with ML teams, and contribute to all software development phases.

The role focuses on managing revenue operations by building data models, implementing processes, and leveraging AI for improved efficiencies in revenue generation.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

Support customer success post-sales through monitoring, proactive engagement, and technical support, improving adoption and ensuring strong account health.

Lead the development of AI/ML systems for real-time applications, mentor teams, optimize performance, and contribute to the AI/ML community.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

The Senior AI Deployment Specialist at Intercom will guide customers in implementing AI tools, ensuring successful adoption and improved customer service outcomes through collaboration and tailored strategies.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

The Staff Software Engineer will lead infrastructure projects for AI Serving at HubSpot, focusing on model inference, deployment, and cost efficiency in AI solutions, collaborating across teams to improve reliability and performance.

Develop AI-powered features for transaction automation, management accounts, and cash flow predictions in a fintech startup setting.

Develop scalable Python microservices for AI systems, design developer-friendly APIs, optimize performance, and collaborate across teams in a fast-paced environment.