Top AI Jobs in Dublin

Own the strategy, roadmap, discovery, experimentation, and measurable outcomes for a strategic employee recognition product domain. Partner with Engineering, Design, Marketing, Customer Excellence, and senior leaders to deliver scalable, intuitive, AI-powered B2B SaaS experiences. Clarify requirements, prioritize work, support sprint execution, use customer and product data to guide decisions, and mentor junior product professionals.

Leads analytical methodology and evaluation for AI-based healthcare and pharmaceutical workflows. Owns model selection, cohort and HCP segmentation, agent decision logic, and evaluation frameworks. Partners with engineering, data architecture, and governance teams to productionize rigorous analytical methods, identify new data and techniques, communicate insights, and mentor data science and engineering colleagues.

Leads data science methodology and advanced analytics for AI-enabled Medical Affairs workflows. Develops and evaluates statistical, machine-learning, NLP, and AI models using healthcare and real-world data; defines validation, monitoring, and decision frameworks; partners with engineering, governance, and business teams to operationalize solutions. Provides technical leadership, mentorship, documentation standards, and strategic guidance while ensuring privacy, compliance, responsible AI use, and clear communication of analytical findings.

Senior Commercial Counsel will negotiate enterprise sales, partnership, vendor, services, data licensing, and marketing agreements. The role advises on privacy, intellectual property, data security, AI law, and cross-border data transfers across the UK/EU and APAC. Responsibilities include building scalable legal processes, supporting sales and business development, managing international regulatory issues, and translating evolving AI legal developments into practical guidance for a fast-growing company.

Manages the Coordination of Benefits and Ideation & Growth portfolios, leading opportunity prioritization, forecasting, executive reporting, KPI tracking, value realization, and productivity planning. Drives modernization through AI, machine learning, automation, improved data integration, and scalable operating models. Partners with Operations, Finance, Product, Technology, Analytics, Data Science, and leadership teams to develop business cases, deploy innovation, monitor savings and revenue, and improve operational efficiency and growth outcomes.

Build secure, scalable full-stack and cloud-native applications using Python, AI/ML, LLMs, generative AI, and IoT integrations. Responsibilities include designing architecture, developing backend and UI features, integrating connected-device data, analyzing datasets, troubleshooting production systems, and improving reliability. The role also requires delivering smart-building and workplace solutions using distributed systems, cloud platforms, microservices, and edge-computing patterns.

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.

Leads AI-driven business transformation for strategic customers by advising executives, identifying high-value opportunities, developing transformation roadmaps, operating models, business cases, and value frameworks. Connects customer challenges with Microsoft AI, Copilot, and agentic capabilities while collaborating across sales, engineering, product, and delivery teams. The role also develops thought leadership, mentors colleagues, and drives measurable business outcomes through executive engagement and organizational change.

Leads complex, cross-functional global supply chain transformation projects and programs. Responsibilities include portfolio planning, business cases, governance, risk mitigation, stakeholder communications, change management, digital technology evaluation, scenario analysis, budget and timeline management, and team leadership. The role supports strategic initiatives, drives operational excellence, and facilitates executive decision-making across global teams, with up to 20% travel for project-based workshops.

Leads Salesforce’s EMEA university recruiting programs, including intern and graduate onboarding, campus strategy, employer-brand events, candidate engagement, merchandise logistics, metrics, budgeting, supplier management, and cross-functional initiatives. The role owns program design and execution across Dublin and EMEA, partners with recruiting teams, manages stakeholders and junior team members, and uses reporting tools and dashboards to improve program outcomes.

Support the design, development, testing, deployment, and operation of AI and generative AI solutions using AWS and enterprise platforms. Contribute to application integration, API development, data connectivity, DevOps, CI/CD, infrastructure automation, model monitoring, security, and compliance. Collaborate with cross-functional stakeholders, create technical documentation, support training and AI adoption, participate in agile delivery, and explore emerging technologies through innovation and proof-of-concept initiatives.

Conduct risk-based IT audits and assessments, evaluate controls and emerging technology risks, report findings to leadership and the Audit Committee, and provide advisory support on risk management and governance. The role covers cybersecurity, cloud, AI, automation, IoT, ERP, infrastructure, applications, and vendor management. It also contributes to audit department initiatives, maintains technical expertise through training, collaborates with global teams, and may require up to 20% travel.

Leads enterprise product security across Google Cloud, AWS, AI applications, and software development. Designs security solutions, develops threat-modeling frameworks, conducts code reviews and vulnerability testing, integrates secure practices into the SDLC, and creates security policies. Triages threats, assesses risks, manages corrective actions, communicates findings to technical and executive stakeholders, and validates AI-assisted security recommendations for security, resiliency, data protection, and auditability.

Graduate software engineer contributing to firmware, embedded systems, cloud services, AI tooling, and healthcare technology projects. The role involves developing C++ and Python software, supporting automation and continuous integration, applying medical-grade development processes, and collaborating with multidisciplinary engineering teams throughout the product lifecycle.

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.

Leads digital and AI strategy for Arcadis’ Industrial Manufacturing and Technology sectors. Translates emerging technologies and market needs into differentiated client propositions, growth opportunities, investment cases, product portfolios, and sector roadmaps. Partners with sector, account, and Digital Intelligence teams to improve win rates, prioritize innovation investments, develop strategic partnerships, and bring scalable digital solutions to market. Advises senior stakeholders and clients on practical applications of digital and AI capabilities.

Designs and delivers data architecture, business intelligence, modern analytics, data warehouses, ETL processes, data models, and data integration solutions. Translates business requirements into technical specifications, leads client-facing delivery, documents high- and low-level designs, supports agile project teams, oversees technical implementation, and manages stakeholders. Responsibilities also include master data management, data quality, performance optimization, and collaboration across data science, visualization, AI, and machine learning initiatives.

Build and manage strategic security partner relationships across the Danish market. Develop joint sales plans, lead co-selling strategies, generate customer opportunities, maintain qualified pipelines, track partner performance and forecasts, and coordinate internal and external stakeholders to achieve revenue, adoption, and customer success goals.

Conduct internal audit fieldwork, develop risk-based test plans, analyze data, evaluate controls, and draft audit findings. The role uses data analytics and AI-enabled tools to improve testing and insights, translates complex issues into clear recommendations, and collaborates with stakeholders and senior management to strengthen risk management, governance, operations, and process effectiveness.

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.

Lead design, build, and operate scalable data pipelines and products for foundation model training, inference, and evaluation. Own ingestion, transformation, batch/stream processing, feature engineering, data quality, lineage, governance, and performance tuning. Collaborate with AI, platform, and product teams to ensure production readiness, security, and observability. Provide technical leadership, code/design reviews, mentoring, and delivery planning across the program.

Lead design, build, and operate scalable data pipelines and products to support foundation models and AI workloads. Own ingestion, transformation, feature engineering enablement, data quality, governance, and production readiness while mentoring engineers and ensuring enterprise standards.

Lead design, build, and operate scalable data pipelines and products for AI foundation models. Own ingestion, batch and streaming transforms, feature engineering and training datasets, ensure data quality, lineage, governance, performance tuning, and secure access. Collaborate with AI, platform, and product teams, lead technical reviews, mentor engineers, and contribute to program planning and delivery.

Lead design, build, and operate scalable data pipelines and data products to support foundation model training, inference, and evaluation. Partner with AI and platform teams to enable feature engineering, ensure data quality, governance, lineage, and secure access. Drive best practices for modeling, partitioning, performance, monitoring, and CI/CD. Provide technical leadership, code/design reviews, mentoring, and program-level planning to ensure production-ready, reliable data for AI workloads.

Lead design, build, and operate scalable data pipelines and data products for foundation-model training, inference, and evaluation. Ensure data quality, lineage, governance, and performance; enable feature engineering and training datasets; collaborate with AI, platform, and product teams; mentor engineers and oversee delivery.