Top AI Jobs in Dublin

Own the full enterprise sales cycle across the Nordics, from pipeline generation and discovery through commercial close, onboarding, expansion, and renewal. Design and validate workflow solutions in Notion, translate customer needs into business cases, navigate procurement, legal, and security reviews, and coordinate BDRs, Outcomes Architects, and technical specialists. The role combines quota-carrying commercial ownership, technical software fluency, AI adoption, complex stakeholder engagement, and post-sale customer value realization.

Own the full customer sales cycle across mid-market accounts in the Middle East and Africa, from pipeline generation and discovery through close, onboarding, expansion, and renewal. Build workflow solutions live in Notion, articulate measurable business value, navigate procurement and security reviews, and coordinate BDRs, Outcomes Architects, and technical specialists. The role requires commercial ownership, technical and AI fluency, complex stakeholder engagement, and a builder mindset. It is based in Dublin with in-office work on Mondays, Tuesdays, and Thursdays.

Customer-facing, quota-carrying Solutions Consultant responsible for pipeline generation, discovery, workflow solution design, commercial proposals, and closing B2B opportunities. The role partners with BDRs and technical specialists, co-builds solutions in Notion, navigates procurement and security reviews, and supports adoption, expansion, and renewals. It requires commercial ownership, technical and AI fluency, complex stakeholder engagement, and the ability to articulate measurable customer value.

Leads advanced data science and machine learning initiatives to discover healthcare affordability and payment integrity opportunities. Develops anomaly detection, clustering, graph analytics, explainable AI, generative AI, and evidence-generation methods using large-scale healthcare data. Partners with product, engineering, analytics, and domain stakeholders to translate patterns into actionable hypotheses, operationalize analytical assets, and improve model validation. Provides technical leadership, establishes analytical standards, mentors data scientists, and guides ambiguous initiatives from problem definition through delivery.

Develop and enhance actuarial pricing and forecasting solutions for U.S. health insurance using statistical techniques, machine learning, AI, and large healthcare datasets. Responsibilities include dataset development, model validation, data quality assurance, reconciliation, predictive modeling, and collaboration with actuarial, data science, product, and engineering teams. The role also supports continued progress toward actuarial qualification through a structured development program.

Own adoption, value realization, renewals, and expansion outcomes for named B2B accounts. Develop success plans, conduct executive business reviews, guide workflow consultations, identify implementation needs, and partner with Solutions Consultants, Services, Sales, and Support. Help customers build AI-enabled Notion workflows, demonstrate ROI, manage renewal risks, and create scalable customer programs that improve retention and growth.

Own the vision and roadmap for a foundational agentic AI capability. Define its reasoning, generation, decision models, taxonomy, and knowledge structures; translate ambiguous problems into product requirements; and partner with data science and ML teams on model behavior and inference design. The role requires representing progress to senior stakeholders and shaping AI-first product standards across the organization.

Own end-to-end delivery of technology training programs, from signed statement of work through client evaluation. Manage schedules, budgets, profitability, instructors, cloud environments, stakeholders, and client relationships across projects lasting weeks to a year. Support pre-sales discovery, coordinate resources, facilitate client and instructor alignment, and maintain delivery quality and satisfaction.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Drive new business and account expansion for ServiceNow’s commercial customers across Nordic-speaking markets. Prospect into new accounts, generate pipeline, manage complex sales cycles, meet sales quotas, and expand existing customer relationships. Collaborate with solution consultants, partners, renewals, and customer service teams. Maintain forecasts and account plans, track sales KPIs, support renewals, mentor colleagues, and occasionally travel for training or meetings.

Own the full customer sales cycle for mid-market accounts across the Nordics, from pipeline generation and discovery through solution design, commercial negotiations, close, adoption, expansion, and renewal. Build workflow solutions live in Notion, articulate measurable business value, navigate procurement, legal, and security reviews, and coordinate BDRs, Outcomes Architects, and product specialists while maintaining ownership of customer relationships and opportunity momentum.

Own the full commercial sales cycle across Benelux, from pipeline generation and discovery through proposal, negotiation, close, adoption, expansion, and renewal. Build workflow solutions live in Notion, articulate measurable business value, navigate procurement, legal, and security reviews, and coordinate BDRs, architects, and product specialists. The role requires technical fluency, AI curiosity, customer engagement skills, and ownership of quota and commercial outcomes.

In-person JPMorganChase Dublin event showcasing cybersecurity careers and emerging AI security challenges. Attendees will learn how technologists address AI agent authentication, data access controls, threat modeling, misuse prevention, and safeguards for intelligent systems handling sensitive financial data. The event offers networking, career discussions, and insight into security engineering, AI, threat modeling, data, and human-centered design opportunities.

Own the roadmap and adoption of a marketing agent layer, including workflow prioritization, process redesign, requirements, governance, success metrics, stakeholder alignment, failure communications, and enablement. The role partners with automation, data, platform, engineering, and security teams to move AI capabilities from prototypes to reliable, organization-wide standards.

Leads enterprise architecture for employee platforms, advising teams on technology selection, developing multi-year roadmaps, and guiding secure, high-quality cloud application development. Applies AI-enabled engineering patterns with human validation, auditability, resiliency, and security controls. Evaluates emerging technologies, represents the organization in technical forums, serves as a subject matter expert, and communicates architecture decisions to senior executives. The role also requires product ownership experience and may involve managing a small team.

Lead scientific innovation applying AI and machine learning to biologics, antibody discovery, protein engineering, and protein design. Translate drug-discovery challenges into validated AI opportunities, evaluate emerging models and datasets, lead computational proof-of-concept studies with experimental validation, and guide successful innovations into reusable capabilities. Build external collaborations, influence scientific strategy, communicate evidence and risks to senior stakeholders, and mentor scientists and data scientists.

Design, implement, and ship software and data products that improve how Windows is built and delivered. Develop AI-powered platforms, automation, and solutions addressing application compatibility, reliability, and trust across Windows devices. Collaborate with engineering and product teams, influence technical direction, solve complex problems using large-scale data, mentor less experienced engineers, and promote engineering excellence through testing, measurement, and reliable software lifecycle practices.

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 business challenges with Microsoft AI, Copilot, and agentic capabilities while collaborating across sales, engineering, product, and delivery teams. Also develops thought leadership, mentors colleagues, and drives measurable transformation outcomes.

Supports the HR Manager and Director of Human Resources with HR administration, employee queries, absence and family leave processes, HRIS records, contracts, CPD compliance, reporting, and people metrics. Manages the HR mailbox, coordinates student and wellbeing programs, supports events, and maintains accurate confidential employee documentation. The role also contributes to process improvement through AI and Microsoft Office solutions.

Drive enterprise sales for Microsoft Azure and AI solutions across an assigned territory. Build customer and partner relationships, identify digital transformation opportunities, manage forecasting and territory planning, accelerate deal closure, and lead customer workshops and solution discussions. The role also involves coordinating internal resources, contributing to account planning, and coaching less experienced team members.

Designs data-driven digital products across web, mobile, dashboards, chatbots, voice interfaces, and IoT. Leads UX research, personas, journeys, information architecture, rapid prototyping, visual design, Design Thinking workshops, and iterative user testing. Collaborates with product, technology, marketing, regional, and customer teams to create accessible, compliant, and engaging B2B and B2B2C experiences.

Leads user experience, interaction, visual, and product experience design for data-driven digital products. Creates prototypes, MVPs, dashboards, applications, chatbots, and voice interfaces 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, maintain design patterns, and deliver accessible experiences across web, mobile, wearable, and IoT platforms.

Leads user experience, interaction, visual, and product experience design for data-driven B2B and B2B2C products. Creates prototypes, MVPs, dashboards, web and mobile applications, chatbots, voice interfaces, and digital assistants using Lean UX and Design Thinking. Conducts workshops, develops personas and user journeys, designs information architectures and visual systems, incorporates user research, and collaborates with product, technology, marketing, regional, and customer teams to deliver accessible, usable experiences across global markets.

Lead UX, interaction, and visual design for data-driven B2B and B2B2C products, including dashboards, web and mobile applications, chatbots, voice interfaces, and digital assistants. Develop personas, journeys, architectures, prototypes, and visual systems through Lean UX and Design Thinking. Collaborate with customers, product managers, marketers, technology teams, and regional stakeholders to test and refine accessible, engaging experiences across multiple form factors.

Designs data-driven digital products, prototypes, dashboards, applications, chatbots, and voice interfaces using human-centered design, Lean UX, and Design Thinking. Leads user research workshops, develops personas and journeys, creates interaction and visual designs, and collaborates with product, technology, marketing, and regional teams. Establishes design patterns and cohesive experiences across web, mobile, wearable, and IoT platforms while incorporating AI, machine learning, responsive design, and iterative user testing.