Top AI Jobs in Dublin

Develops and scales AI-powered managed services and Built On ServiceNow solutions through strategic partner collaboration. Identifies opportunities, shapes growth strategies, guides solution deals from discovery through launch, presents value propositions to executives, structures deals with finance and legal teams, and coordinates internal and external stakeholders. The role requires extensive enterprise IT sales, consultative selling, platform transformation, managed services, BPO, and strategic partnership experience, with travel as needed.

Develop and maintain scalable data pipelines integrating databases, APIs, logs, streaming platforms, and external providers. Build transformation and processing jobs, implement governance and de-identification controls, monitor pipeline reliability, and establish automation and deployment best practices. Partner with analytics, product, infrastructure, and data science teams to advance cloud-based data and analytic platforms using Azure, Databricks, Snowflake, Spark, and SQL.

Build and lead Mastercard’s Support and Retention Experience function for its B2B platform. The role owns customer health monitoring, post-production support, SLAs, escalation paths, automated playbooks, data integration, retention initiatives, expansion opportunities, executive reporting, and team leadership. Success includes identifying onboarding issues, proactively resolving production problems, improving platform adoption, and increasing customer retention through scalable, data-driven interventions.

Build and lead Mastercard’s Support and Retention Experience function for its B2B platform. The role owns customer health monitoring, post-production support, automated playbooks, cross-functional data integration, retention and expansion opportunities, executive reporting, and team development. Success depends on identifying onboarding issues, proactively resolving production problems, improving platform adoption, and increasing customer retention through scalable, technology-enabled interventions.

Build and lead Mastercard’s Support and Retention Experience function for its B2B platform. The role owns customer health monitoring, post-production support, automated playbooks, cross-functional data integration, retention and expansion opportunities, executive reporting, and team leadership. It requires translating technical customer signals into scalable support interventions that improve onboarding recovery, platform adoption, customer retention, and commercial growth.

Build and lead Mastercard’s Support and Retention Experience function for its B2B platform. Own customer health monitoring, post-production support, SLAs, escalation paths, automated playbooks, data integration, retention initiatives, and expansion opportunities. Lead cross-functional alignment across product, engineering, data, and commercial teams, provide executive visibility into customer outcomes, and build a high-performing team that improves onboarding recovery, customer retention, adoption, and long-term platform value.

Lead Datadog’s EMEA Field Enablement team, managing and developing enablement managers while setting regional strategy and quality standards. Partner with Sales, SDR, and Customer Success leadership to identify performance gaps, deliver targeted programs, and measure impact. Own workforce planning, hiring, coaching, stakeholder alignment, and global enablement collaboration across EMEA. Travel approximately 30% across the region.

Leads Pfizer’s strategic technology initiatives across eight Digital Core Platforms, aligning enterprise architecture, AI programs, reuse, governance, and delivery. Oversees Senior Technical Architects, sets portfolio priorities, resolves cross-program trade-offs, advises executive stakeholders, and develops senior technical talent. Establishes responsible AI-enabled delivery practices and ensures reliability, security, documentation, operational excellence, and measurable outcomes across a complex global technology portfolio.

Leads business technology strategy across Pfizer divisions, aligning divisional programs and projects with enterprise digital platforms, architecture standards, security, and governance. Serves as the primary business-Digital liaison, chairs or co-leads architecture reviews, resolves cross-division technology trade-offs, and oversees Director-level technical specialists. The role establishes technology direction, promotes platform reuse, assures delivery and operational excellence, advises senior leaders, and develops technical talent in a global, regulated enterprise.

Own the strategy, roadmap, discovery, prioritization, and delivery of a portfolio of AI-powered products, analytics solutions, and machine learning capabilities. Partner with data scientists, engineers, and business teams to deliver measurable patient and business outcomes. Establish responsible AI governance, evaluation criteria, guardrails, metrics, and OKRs while influencing senior leaders across a regulated healthcare organization. Mentor product professionals and communicate portfolio strategy, risks, and results to executives and stakeholders.

Leads enterprise analytics strategy and insight generation across Optum Rx. Oversees scalable analytics, AI, automation, governance, and business intelligence initiatives that improve performance, efficiency, revenue, and client outcomes. Partners with executive stakeholders across clinical, finance, technology, formulary, and rebate functions. Establishes prioritization and performance processes, champions responsible AI adoption, and leads multifaceted teams while developing organizational capabilities and strategic roadmaps.

Owns product strategy, roadmap, and feature definition for AI and data products. Partners with engineering, design, marketing, and leadership to prioritize initiatives, translate OKRs into delivery plans, define requirements, manage backlogs, and guide solution trade-offs. Uses customer research, operational data, and product analytics to drive product decisions, innovation, and measurable business value in a SaaS environment.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks for AI demonstrations, mixed reality, spatial computing, interactive installations, visualization, IoT environments, and production systems. Owns delivery from concept through deployment, establishes technical standards and support models, and leads cross-functional teams and external partners. Engages executives and customers to translate business needs into compelling, reliable technology experiences while mentoring teams and driving adoption of emerging technologies.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks and production systems for AI, mixed reality, spatial computing, interactive installations, visualization, IoT, and executive demonstrations. Oversees technical strategy, delivery, integrations, operational support, and global rollout while partnering with product, engineering, creative, security, vendors, and senior stakeholders. Translates customer and business needs into scalable, reliable, and compelling technology experiences.

Lead the architecture and delivery of scalable, secure cloud-native platforms across public clouds. Define reference architectures, engineering standards, governance controls, observability practices, and reusable developer-platform capabilities. Drive responsible adoption of generative and agentic AI in engineering workflows, including validation, auditability, security, and data protection guardrails. Partner with architecture, engineering, product, security, risk, and business teams while mentoring technical talent and setting enterprise architecture direction.

Design, build, and operate LLM-powered applications and agentic AI workflows for employee platforms. Productionize models and services, implement monitoring and SLOs, create CI/CD and testing, build data/retrieval layers, ensure governance and security, and partner with product, SRE, security and data teams to integrate AI capabilities.

Leads the design, development, evaluation, and deployment of AI and agentic systems for pharmaceutical manufacturing. Responsibilities include building LLM-based agents, process and machine-learning models, advanced analytics, real-time monitoring, root-cause analysis, and decision-support solutions. The role applies engineering and experimental data within GMP-regulated environments, establishes AI reliability and monitoring practices, and identifies high-value manufacturing opportunities for scalable AI solutions.

Leads HPE’s EMEA Networks for AI sales organization, driving revenue growth, market share, quota attainment, pipeline development, strategic account planning, and consultative solution selling. Oversees sales coverage, partner engagement, resource allocation, forecasting, and customer executive relationships. Develops sales talent, coaches teams, manages business investments, and coordinates cross-functional efforts to expand market opportunities and deliver profitable growth.

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.

Senior leader responsible for designing, delivering, and improving BI, reporting, analytics, and data management. Partners with stakeholders to prioritize initiatives, ensure data quality, define metrics, drive automation and AI-first improvements, and lead a team of analytics specialists to support operational and strategic decision-making.

Build and maintain AI platform infrastructure, including LLM proxies, AI key management, observability pipelines, autonomous agents, MCP services, and an internal plugin marketplace. Develop reliable backend systems and developer tooling, collaborate across engineering and product teams, and promote agentic development practices. The role requires experience with scalable services, LLM-powered agents, distributed systems, cloud infrastructure, prompt engineering, and AI coding assistants.

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.

Manages medium-enterprise accounts across Greece and Malta, building executive relationships, generating pipeline, forecasting revenue, and driving cloud and AI solution adoption. Coordinates Microsoft teams and partners, develops territory plans, manages customer satisfaction and escalations, supports upsell and renewals, and advocates for customer needs. The role requires Greek-language communication and strong sales, negotiation, account management, partner collaboration, and technology expertise.

Design and build Agentic AI tooling, services, and reusable patterns. Implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, develop frontend (React/Next.js) and backend (Java/Python) systems, improve developer experience via automation and CI/CD, and partner with stakeholders from prototype to validation while sharing best practices.

Build tooling, services, and reusable patterns to apply generative and agentic AI across products. Design, implement, and evaluate AI-enabled apps and developer workflows; improve developer experience via automation and platform capabilities; partner with stakeholders to deliver prototypes to production and share best practices across Mastercard.