Top AI Jobs in Dublin

The role involves driving AI transformation in marketing, managing digital platforms, implementing tools, and ensuring best practices for public marketing sites.

The AI Inference Engineer optimizes Large Language Models for inference in diverse environments, ensuring high performance and reliability through optimized deployment, hardware acceleration, and scalable architecture.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

Lead AI-driven resilience assurance initiatives, utilizing predictive analytics and real-time monitoring to enhance compliance and organizational resilience. Develop autonomous systems for continuous audits and dynamic maturity assessments, translating insights into actionable strategies for stakeholders.

As a Customer AI Analyst, you will optimize customer accounts for AI performance, design prompts for LLMs, deliver insights, and collaborate with teams to enhance service delivery and customer engagement.

As a Customer AI Strategist, you will guide enterprise marketers in Europe through AI Marketing strategies, ensuring measurable results and driving business transformations while managing key client relationships and collaborating with internal teams.

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

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.

Manage the GTM AI Engineering team overseeing automation, AI agent strategy, and integration with sales and marketing for revenue growth.

The role involves creating narrative-driven, AI-generated video content, managing the entire production process from ideation to final editing.

Lead the design strategy for Deel's AI vertical, overseeing design for AI products, enhancing user experiences, mentoring designers, and driving cross-team collaboration.

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 AI Engineering Manager will build and lead a high-performing team focused on AI agents, workflow orchestration, and navigating evolving technology, ensuring clarity and delivering impactful results.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

The Tech Lead Engineering, AI is responsible for shipping features quickly while maintaining quality by leveraging AI tools for development. They collaborate with cross-functional teams, make technical decisions, and ensure robust product delivery from design to deployment.

The Staff Machine Learning Scientist will lead ML projects, mentor engineers, define new features, conduct research, and collaborate with product teams to deliver impactful ML products.