Top AI Jobs in Dublin

Lead Clio’s product portfolio and customer experience for France, driving localization, regulatory readiness, multilingual support, and market expansion. Own the roadmap, coordinate cross-functional teams, influence central platform priorities, and deliver SaaS products for French legal professionals. Apply knowledge of French civil law, legal-market regulations, AI-enabled product practices, system design, and internationalization to launch and scale compliant solutions.

Drive revenue growth for Salesforce Agentforce by identifying, qualifying, and pursuing enterprise B2B opportunities. Conduct technical discovery, map customer needs to Salesforce capabilities, present value-focused points of view, and explain AI solutions to technical and business stakeholders. Build client relationships, collaborate with Salesforce teams, demonstrate complex use cases, and consistently exceed sales targets.

Sells complex, cloud-based cybersecurity solutions to enterprise customers across German- and French-speaking Switzerland. Builds pipeline, qualifies and advances security opportunities, leads consultative customer conversations, develops partner strategies, orchestrates internal stakeholders, conducts solution demonstrations, analyzes competitors, and drives deals through closing. The role requires collaboration with account teams and partners, customer and stakeholder mapping, digital selling, event participation, and security thought leadership.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Drive Agentforce adoption across Poland and EMEA Emerging Growth Markets through enterprise B2B sales. Identify and qualify opportunities, lead technical discovery, present business-value propositions, explain Salesforce solutions, and partner with sales and cross-functional teams. The role requires translating complex AI and Salesforce capabilities into outcomes for technical and business stakeholders while exceeding sales targets and building strategic customer relationships.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

Drive AI transformation by selling Microsoft AI Business Solutions (Copilot, Copilot Studio, Viva, Cloud PC/Virtualization). Engage business decision makers with consultative selling, build ROI-based cases, coordinate cross-functional teams, grow Copilot adoption and frontline worker solutions, and support partner-led motions to close deals while maintaining account plans and compliance.

Lead digital architecture advisory, transformation planning, product and platform architecture, and AI-native engineering for enterprise web and mobile products. Advise senior business and technology leaders, guide cloud-native delivery, integrate CRM, DXP, and CMS platforms, and lead teams building AI agents, personalization capabilities, conversational interfaces, and intelligent cross-channel experiences.

Supports and optimizes production AI applications by managing cloud infrastructure, Kubernetes workloads, CI/CD, automation, monitoring, reliability, incident response, and performance. Troubleshoots data pipelines, model deployments, microservices, databases, APIs, and integrations while implementing observability, SLOs, capacity planning, and cost optimization. Collaborates with AI/ML, software, data, product, and security teams to transition AI solutions reliably into production.

Leads the growth and strategy of an enterprise AI practice in Ireland, shaping client transformation agendas, driving strategic pursuits, and building a high-performing AI engineering team. Oversees architecture and delivery of generative AI, agentic AI, and machine learning solutions, while establishing engineering standards, governance, security, responsible AI, and operational best practices. Represents the practice through executive engagement, thought leadership, and industry events.

Leads strategic oversight, operational management, regulatory governance, and resilience for WEX’s regulated electronic money institutions in Ireland and the UK. Acts as primary liaison with the Central Bank of Ireland and FCA, oversees compliance, outsourcing, IT operations, risk, budgets, boards, and staff, and drives AI-enabled process improvements. The role requires executive leadership in regulated payments, card issuing, e-money, outsourcing, and multinational governance, plus Irish residency, work authorization, and regulatory approval.

Build, automate, secure, and operate cloud platforms supporting enterprise generative AI, LLM, RAG, and agent-based solutions. Develop Terraform infrastructure modules, CI/CD and GitOps pipelines, Kubernetes platforms, secure runtime patterns, AI integrations, observability, evaluation controls, and self-service capabilities. Partner with AI, application, data, security, privacy, risk, and architecture teams to move AI solutions from proof of concept to reliable, governed production services.

Build, integrate, test, govern, and support production-ready AI agents using Microsoft Copilot Studio and Power Platform. Connect agents to Dataverse, Microsoft 365, APIs, and Azure services while implementing prompts, retrieval, human oversight, authentication, security, responsible AI controls, documentation, ALM, CI/CD, releases, and support processes.

Leads the adoption of AI and automation across clinical research and statistical computing workflows. The role translates business needs into technical solutions, redesigns QC and review processes, manages stakeholders, drives change and capability building, and ensures compliant, inspection-ready implementation under GxP and CSV requirements. Responsibilities include prototyping, code review, AI risk assessment, human-in-the-loop design, training, adoption measurement, and scaling pilots into sustained production practices.

Drive enterprise sales of Microsoft Modern Work, AI, Copilot, and cloud solutions in German-speaking Switzerland. Identify customer needs, build relationships with business decision-makers, lead value-based solution selling, coordinate internal specialists and partners, and manage opportunities through forecasting, competitive planning, cross-selling, and closing. The role requires strong German communication skills, technology-related sales or account management experience, and the ability to sell solutions to enterprise customers.

Lead development and deployment of AI-driven digital diagnostic technologies, build a diagnostics lab, optimize biomarker data insights, unlock internal and real-world data, and collaborate across data science, engineering, and clinical teams to deliver production-grade ML solutions impacting patient care.

Leads ABC Fitness’s global People Operations and Experience strategy, including operating model design, talent management, learning and development, leadership development, employee experience, people technology, analytics, AI enablement, communications, and employee engagement. Partners with executive and cross-functional leaders to simplify processes, improve service delivery, build scalable systems, strengthen People leadership, and connect workforce investments to business outcomes, productivity, risk, and organizational effectiveness.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Lead enterprise product strategy and transformation across Wolters Kluwer. The role focuses on scaling AI-enabled and agentic product development, coaching product leaders, improving operating models, leading cross-functional lighthouse initiatives, and establishing reusable tools, practices, metrics, and governance. Success requires influencing senior stakeholders without formal authority and driving measurable improvements in product discovery, delivery, launch, and outcomes across a global software portfolio.

Drive new-logo acquisition for Axway’s AI Gateway and Amplify portfolio across large enterprise and regulated-industry accounts. Responsibilities include strategic prospecting, executive engagement, pipeline creation, complex enterprise sales, business-case development, technical validation, negotiation, and contract closure. The role focuses on API security, governance, AI adoption, enterprise integration, and digital transformation, while collaborating with presales, product, marketing, partners, and executives.

Leads the design, development, deployment, and evaluation of machine learning solutions, including forecasting, recommendation, propensity, fraud, and customer analytics models. Defines experimentation frameworks, applies foundation-model embeddings, measures business impact, and partners with product, engineering, analytics, and business teams. Mentors data scientists and AI engineers, presents technical recommendations to leadership, supports hiring, and shapes the organization’s long-term technical direction.

Leads the design, development, deployment, and evaluation of machine learning solutions, including predictive models, recommendation systems, forecasting, embeddings, and foundation-model applications. Defines experimentation frameworks and success metrics, measures business impact, partners with cross-functional stakeholders, presents findings to leadership, and mentors data scientists and AI engineers. The role also contributes to hiring, capability development, and the technical direction of the AI organization.

Leads the design, development, deployment, and evaluation of machine learning solutions, including predictive modeling, forecasting, recommendation systems, fraud detection, and customer analytics. Defines experimentation frameworks, applies foundation-model representations, measures business impact, and partners with cross-functional stakeholders. Mentors data scientists and AI engineers, presents recommendations to leadership, contributes to hiring, and helps shape the organization’s technical direction.

Leads the design, development, deployment, and evaluation of machine learning solutions, including predictive models, recommendation systems, forecasting, fraud detection, and customer analytics. Defines experimentation frameworks, applies foundation-model embeddings, measures business impact, partners with cross-functional stakeholders, presents technical recommendations, and mentors data scientists and AI engineers. The role also contributes to hiring, capability development, and the long-term technical direction of the AI organization.

Leads the design, development, deployment, and evaluation of machine learning solutions, including predictive modeling, forecasting, recommendation systems, fraud detection, and customer analytics. Defines experimentation frameworks, applies embeddings and foundation models, measures business impact, partners with cross-functional stakeholders, presents technical recommendations, and mentors data scientists and AI engineers. Contributes to hiring, capability development, and the long-term technical direction of the AI organization.