Top AI Jobs in Dublin

Designs data-driven digital products, prototypes, dashboards, applications, chatbots, and voice interfaces using human-centered design, Lean UX, and Design Thinking. Creates interaction and visual designs across web, mobile, wearable, and IoT form factors; leads workshops, user research, prototyping, and iterative testing. Collaborates with product, technology, marketing, regional, and customer teams to deliver accessible, usable experiences that balance business goals with user engagement.

Designs data-driven digital products, prototypes, dashboards, web and mobile applications, chatbots, voice interfaces, and other experiences using human-centered design. Leads Design Thinking workshops, develops personas and user journeys, creates visual and interaction designs, conducts iterative user testing, and collaborates with product, technology, marketing, and regional teams. Establishes design patterns and visual language while balancing user engagement, business goals, accessibility, and regulatory requirements.

Designs data-driven digital products, prototypes, dashboards, applications, chatbots, and voice interfaces using human-centered design, Lean UX, and Design Thinking. Leads workshops, develops personas and user journeys, creates interaction and visual designs, conducts iterative user testing, and contributes to design systems. Partners with product, technology, marketing, and regional teams to deliver accessible, responsive experiences across web, mobile, wearable, and IoT form factors.

Designs data-driven digital products, prototypes, dashboards, web and mobile applications, chatbots, voice interfaces, and digital assistants. Leads human-centered design, Design Thinking workshops, user research, interaction and visual design, information architecture, and iterative usability testing. Collaborates with product, technology, marketing, regional, and customer teams to create accessible experiences across multiple devices and form factors while supporting AI- and ML-enabled products.

Designs data-driven digital products and experiences across web, mobile, IoT, dashboards, chatbots, and voice interfaces. Leads human-centered design, rapid prototyping, Design Thinking workshops, user research, visual and interaction design, and iterative testing. Collaborates with product, technology, marketing, regional, and customer teams to create accessible, usable, and compelling global experiences while contributing to design systems and exploring AI- and ML-enabled product opportunities.

Leads user experience, interaction, and visual design for data-driven B2B and B2B2C products. Creates prototypes, MVPs, dashboards, web and mobile applications, chatbots, voice interfaces, and digital assistants using human-centered design, Lean UX, and Design Thinking. Collaborates with customers, product managers, technology teams, marketing, and regional stakeholders to conduct research, iterate designs, establish design patterns, and deliver accessible, engaging experiences across multiple form factors.

Leads global logistics network optimization, transportation sourcing digitization, analytics, market intelligence, and continuous improvement. Develops enterprise strategies, network models, business cases, digital tools, dashboards, data governance standards, and sourcing capabilities. Partners with procurement, supply chain, technology, finance, suppliers, and operating leaders to deliver measurable value. Manages a high-performing global team, drives stakeholder alignment and change adoption, and oversees optimization, productivity, resilience, and risk-reduction initiatives.

Lead the technical vision, architecture, and roadmap for LLM and agentic AI systems across Rapid7’s cybersecurity products. Define model strategy, lead fine-tuning, post-training, evaluation, and inference optimization initiatives, and establish company-wide AI engineering standards. Remain hands-on with model, training, and inference code while mentoring senior technical talent, resolving complex trade-offs, and influencing product, platform, executive, and customer decisions.

Lead the technical direction, architecture, training, fine-tuning, evaluation, and scalable inference of LLM and agentic AI systems. Build hands-on model and inference solutions, optimize performance and cost, establish engineering standards and release evaluations, lead design reviews, mentor engineers, and guide cross-functional AI investments across cybersecurity products.

Leads Eaton’s global procurement transformation agenda, operating model, digital enablement, AI adoption, governance, process standardization, performance management, and value creation. The role owns a multi-year Procurement Excellence roadmap, transformation portfolio, procurement metrics, change management, capability building, and benefits realization. It partners with senior leaders across Digital, IT, Finance, Legal, Engineering, Operations, and business functions while developing a global network of process owners and transformation resources.

Sell and accelerate complex Microsoft security opportunities by engaging business decision-makers, developing customer-centric solution strategies, and driving deals from lead generation through closure. Collaborate with account teams, solution engineers, partners, and internal stakeholders on territory planning, forecasting, co-selling, competitive analysis, and customer negotiations. Lead security-focused business conversations, demonstrations, events, and partner engagements while maintaining pipeline accuracy and continuously developing cybersecurity and Microsoft Security expertise.

Drive RegAI’s end-to-end go-to-market and sales motion by developing positioning, messaging, competitive insights, sales enablement, demos, campaigns, and lead generation. Track pipeline and adoption metrics, support pricing and packaging decisions, coordinate product launches and events, and collaborate with product, marketing, consulting, and sales teams. The role also involves presenting to prospects, engaging AI communities, adapting content, and translating complex AI capabilities into measurable customer value.

Lead MongoDB’s AI Builder Experience Frameworks product organization as a player-coach manager. Manage and develop Product Managers while shaping strategy for AI framework integrations, developer SDKs, client libraries, and agentic application tooling. Drive portfolio prioritization, experimentation, activation, retention, and builder satisfaction. Partner with engineering, marketing, developer relations, analytics, and external framework organizations to deliver high-quality developer experiences and establish MongoDB as a foundational platform for AI applications.

Ten-week Citi Services Summer Analyst program involving market research, financial and client data analysis, business development, product commercialization, process optimization, and reporting. Analysts will explore AI-enabled automation and insights, prepare presentations for stakeholders, and participate in training and networking. Candidates should demonstrate strong analytical, communication, organizational, interpersonal, and problem-solving skills, with proficiency in Excel and working knowledge of PowerPoint and Outlook.

Lead the strategy, roadmap, delivery, scalability, and adoption of Citi’s global HR Assist AI platform and Workday-related initiatives. Analyze data, create performance reporting, prioritize product features, manage risks, coordinate internal and external stakeholders, and deliver change-management plans. The role translates HR business needs into technical requirements while driving cross-functional execution, continuous improvement, and senior-leadership communication across HR, data, and technology teams.

Lead Workhuman’s enterprise AI portfolio and governance framework, from use-case intake and prioritization through delivery oversight and value realization. Establish risk-based controls covering privacy, security, data, model behavior, human oversight, third parties, and responsible AI. Partner with business and technology stakeholders, improve accountability, track outcomes and dependencies, create reusable governance standards, and provide executive-level reporting on AI investment, adoption, value, and risk.

Lead distributed engineering teams across Ireland and India building Toast’s internal AI agent platform. Set strategy and roadmap for coding agents, plugins, MCP servers, and non-engineering agents; oversee platform integrations from design through production; establish security, legal, finance, and data guardrails; drive adoption; measure usage, quality, time savings, and cost; and champion AI-first engineering practices.

Conduct regulatory audits for payment entities, including control testing, risk identification, audit documentation, and remediation validation. Evaluate AI-related controls and risks, develop actionable findings, prepare audit reports, and improve audit processes and tools. Collaborate with global Internal Audit teams and business partners across regions and time zones while managing multiple audit assignments. The role is hybrid in Dublin, requiring office attendance at least three days weekly and occasional business travel.

Owns Fin.ai’s partner ecosystem across priority EMEA markets, managing systems integrators, cloud resellers, and consulting partners. Responsibilities include developing joint go-to-market programs, generating partner-sourced pipeline, supporting enterprise deals and implementations, building senior partner relationships, reporting results, evaluating new partnerships, and localizing global programs. The role collaborates closely with sales, marketing, and regional leadership to drive revenue and adoption of AI-powered customer support solutions.

Conduct risk-based IT audits and assessments, report findings to leadership and the Audit Committee, and advise business partners on technology and emerging risks. The role covers cybersecurity, cloud computing, AI, automation, IoT, infrastructure, applications, ERP controls, operating systems, and vendor management. It also contributes to audit planning, analytics, process improvements, training, and departmental initiatives, with up to 20% travel throughout Ireland and the EU.

Design, implement, and ship engineering and data products that improve how Windows is built and delivered. Collaborate with engineering, product, program management, customers, and partner organizations. Provide technical leadership, influence direction across teams, mentor engineers, and promote engineering excellence through reliable design, testing, measurement, and continuous learning. Apply AI technologies and software development expertise to solve complex problems at global scale.

Build scalable AI-powered software solutions using ServiceNow AI capabilities, prompt engineering, and intelligent architectures. Translate business needs into user-friendly features across design, implementation, testing, and delivery. Develop JavaScript UI components, integrate automated testing into CI/CD, optimize performance, improve reliability and observability, and contribute to AI-enabled product enhancements. Collaborate across teams, participate in code reviews, and mentor colleagues on software craftsmanship and responsible AI integration.

Client-facing Legal Engineer serving Swedish law firms. Translates customer requirements into AI-powered legal workflows, designs agentic solutions and prompts, leads onboarding and pilots, drives adoption, manages customer relationships, and communicates feedback to Engineering and Product. Requires Swedish legal practice experience, a Swedish law degree or equivalent, hands-on AI experience, and fluency in Swedish and English. The role is based in Stockholm with regular travel in Sweden and periodic European travel.

Own the full-cycle sales process for Salesforce’s Netherlands SMB market from prospecting through closing and account expansion. Identify customer challenges, develop territory and account plans, position Salesforce AI, Data, and CRM solutions, and build relationships with decision-makers. Collaborate with business development, presales, marketing, sales engineers, and partners to structure and close deals while achieving acquisition, expansion, and quota targets.

Early-career software engineer responsible for resolving production issues, investigating support cases, building automation and AI agents, and improving system reliability. The role involves writing, testing, reviewing, and deploying software; participating in incident response and support rotations; analyzing logs and root causes; and collaborating with mentors and product teams. Success is measured through reduced manual effort, fewer recurring issues, faster resolution, and improved reliability, with opportunities to advance into product or platform engineering.