Top Tech Jobs & Startup Jobs in Dublin

Lead product strategy and roadmap for an enterprise cloud-native AI platform enabling a federated data mesh. Own platform capabilities including ingestion, lakehouse storage, orchestration, observability, reliability, and FinOps. Enable domain teams to publish data products with embedded governance, partner cross-functionally to ensure compliance and scalability, define success metrics, drive adoption, and evangelize platform value to senior stakeholders.

Design, build, and maintain full-stack web applications and scalable data pipelines. Implement responsive UIs, analytics and data models, RESTful APIs, and high-quality tested code. Mentor junior engineers, improve team processes, and collaborate with product and UX to deliver data-driven services for global customers.

Serve as primary security advisor for Data Commercialization and AI programs. Embed security into SDLC, translate policies into guidance, lead design/code and threat-model reviews, drive governance and vulnerability management, partner with architects and BSOs, and improve protections for sensitive data and ML models through automation and standardization.

Lead design and delivery of Product Excellence tooling and scalable internal platforms, driving architecture decisions and cross-functional execution. Define requirements, ensure data governance and integration (Power Platform, SharePoint, Dataverse), automate operating models, and develop talent while promoting innovation and standardised processes across global teams.

Architect, build, and operate production-grade AI systems and platforms; define technical direction and architectures; drive MLOps, deployment, monitoring, and lifecycle management; collaborate with product, engineering, and data teams; mentor senior engineers and ensure scalable, reliable, secure AI services across cloud environments.

Design and deliver production-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Build APIs and microservices, integrate with cloud and data platforms (AWS, Cloudera, Databricks), apply prompt engineering and orchestration frameworks, monitor model performance, ensure security/compliance, and mentor engineers.

Lead a team to develop, fine-tune and deploy foundation models and generative AI solutions. Drive end-to-end delivery from problem definition through production integration, partner with product and data teams, ensure responsible AI practices, and provide technical coaching to deliver scalable, measurable business outcomes.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable, secure cloud-native services and APIs, optimize model performance in production, mentor engineers, and enforce data governance and compliance.

Join Mastercard Foundry R&D to design and implement high-performance Java solutions and AI tooling. Work in an agile team to research technical alternatives, produce design documentation, and transition R&D prototypes to Mastercard core. Contribute to CI/CD, containerized deployments, automated testing, and front-end integration.

Lead and coach a cross-functional full-stack engineering team to design, build, and scale web applications and data pipelines. Provide technical and product direction, contribute to implementation, collaborate across teams, and drive engineering quality, innovation, and scalable solutions to meet customer demand.