Top AI Jobs in Dublin

This role involves designing, developing, and delivering technology solutions, ensuring coding hygiene, and improving system architecture, as part of a collaborative agile team.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

This role is responsible for transforming the PMO to accelerate AI implementation, ensuring adoption of autonomous delivery and enabling global consistency in project execution.

Lead design and development of AI-powered solutions, ensure integration of AI into systems, guide engineers, and champion responsible AI practices.

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

The role involves partnering with customers to design and implement AI-driven solutions, developing LLM applications, and managing full-stack processes from backend to UI, all within agile frameworks.

As a Lead Security Engineer, you'll architect and develop security solutions on GCP, manage cloud environment protections, and lead team initiatives.

The role focuses on enhancing customer value through community and content programs, driving adoption and loyalty while collaborating across teams.

As a Forward Deployed Engineer in AI, you will design and implement AI solutions for customers, collaborating closely with various teams to drive customer success.

The AI Solutions Specialist will help sell and scale AI products, run sales cycles, and implement AI workflows with customers, collaborating across teams and leading programs.

The Senior Director Analyst will provide insights for CIOs in financial services, focusing on risk strategy, technology trends, and best practices.

As Director of Analyst Relations, you will enhance the corporate narrative and market status by collaborating with analysts and product leaders, driving strategic engagements and evaluations in the cybersecurity industry.

Lead product marketing efforts for Network Detection and Response by developing messaging, driving demand, and enabling sales teams. Focus on customer advocacy and content creation throughout the buyer journey.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

The AI/ML Engineer will design, implement, and deploy machine learning models, collaborating with teams to integrate solutions and monitor performance.

The Commercial Counsel will draft and negotiate agreements, advise on legal compliance in AI, and collaborate with global teams to support growth.

The Senior Software Engineer will focus on building features for the MongoDB Assistant, integrating it into products, and analyzing user behavior to improve AI performance.

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.

As Lead AI Architect, you will design AI foundations for automation-focused products, oversee multi-agent systems, and lead technical direction for scalable AI architectures.

As Head of Data Engineering, you'll lead the design and implementation of a reliable data platform, managing a team and ensuring data quality while integrating with AI and product teams.

The Staff AI/ML Engineer leads complex AI/ML system architecture, technical strategy, and mentoring while driving innovation and business alignment across teams.

Lead and scale engineering teams to develop AI application-platform capabilities while collaborating with cross-functional teams to deliver impactful AI solutions. Focus on building reusable tools and ensuring compliance and governance in AI development practices.

Lead the development of AI perception systems, design models for real-time localization and multimodal fusion, and collaborate with engineering teams.

Lead the design and implementation of test frameworks for AI and robotic systems, ensuring reliability and robustness through automated testing and collaboration with AI and hardware teams.

Lead the development of AI-first perception systems, integrating AI with classical robotics algorithms, focusing on real-time localization and scene understanding.