Top AI Jobs in Dublin

Lead design, build, and operate scalable data pipelines and products to support foundation model training, inference, and evaluation. Ensure data quality, lineage, governance, and performance across batch and streaming workloads; enable feature engineering and feature stores; mentor engineers and drive delivery with platform and product teams.

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

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.

Lead design, build, and operate scalable, governed data pipelines and products for foundation models and AI workloads. Partner with AI and platform teams to enable feature engineering, training/inference datasets, data quality, lineage, and secure access. Provide technical leadership, code/design reviews, mentoring, and delivery planning across cloud-native distributed data environments.

Lead design, build, and operate scalable data pipelines and products to support foundation model training, inference, and evaluation. Own ingestion, transformation, streaming and batch patterns, feature engineering support, data quality, lineage, governance, and performance optimization. Collaborate with AI, platform, and product teams, lead technical reviews, mentor engineers, and contribute to program planning and delivery oversight.

Lead design, build, and operate scalable data pipelines and products to support foundation model training, inference, and evaluation. Ensure data quality, governance, lineage, and secure access. Partner with AI, platform, and product teams, drive best practices, conduct reviews, mentor engineers, and manage delivery risks for AI data needs.

Drive enterprise AI adoption across Denmark by engaging customers, identifying digital transformation opportunities, proposing Copilot and intelligent-agent solutions, leading demonstrations and workshops, coordinating account teams and partners, analyzing competition, and advancing sales opportunities through deal closure and successful customer outcomes.

Own and expand strategic enterprise accounts across Europe, serving as executive relationship owner and driving revenue growth through account expansion plans. Coach account managers and customer success teams on strategy and complex commercial execution, improve key account processes, collaborate with product and customer operations, and report performance and pipeline to leadership. Represent the company with utility customers at conferences and events.

Lead digital custody client onboarding initiatives through workflow mapping, orchestration, application integration, automation, AI/ML enhancements, requirements definition, UAT, and release management. Partner with technology, operations, legal, risk, and sales teams to deliver product improvements, support the digital onboarding roadmap, improve operational efficiency, manage controls, and drive adoption and commercial outcomes.

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.

Leads technology and architecture for new business opportunities, evaluating feasibility, risks, build-versus-buy pathways, and scalable target architectures. Designs and guides AI-enabled and agentic systems, including workflows, orchestration, evaluation frameworks, and intelligence platforms. Partners with product, business, sourcing, and engineering teams, mentors technical talent, establishes engineering standards, and ensures solutions meet security, reliability, compliance, and performance requirements.

Provides senior technology and architecture leadership for new business opportunities. Evaluates technical feasibility, risks, build-versus-buy pathways, and target-state architectures. Designs and guides AI-enabled and agentic systems, platforms, workflows, and data-intensive applications through incubation and scaling. Partners with product, business, sourcing, and engineering teams while mentoring technical staff and ensuring secure, reliable, compliant, and scalable solutions.

Leads technology and architecture for new business opportunities, evaluating feasibility, risks, build-versus-buy decisions, and scalable target architectures. Partners with product, business, sourcing, and engineering teams to incubate and commercialize AI-enabled solutions. Designs agentic workflows, platforms, and distributed systems; ensures security, reliability, compliance, and performance; establishes reusable engineering capabilities; and mentors technical teams and cross-functional partners.

Serves as a senior technology and architecture leader for new business opportunities. Evaluates technical feasibility, emerging technologies, architecture, risks, and build-versus-buy decisions. Designs and guides AI-enabled and agentic systems through incubation, prototyping, commercialization, and scale. Establishes reusable platforms and architectural patterns while ensuring security, reliability, compliance, and scalability. Partners with product, business, sourcing, and engineering teams, and mentors technical staff across complex, ambiguous initiatives.

Provides senior technology and architecture leadership for AI-enabled business opportunities. Evaluates technical feasibility, risks, build-versus-buy options, and target architectures; guides prototypes through commercialization and scale. Designs agentic AI workflows, platforms, and reusable capabilities while ensuring security, reliability, compliance, and performance. Partners with product, business, sourcing, and engineering teams, influences architectural decisions, and mentors technical stakeholders.

Provides senior technology and architecture leadership for AI-enabled business opportunities. Evaluates technical feasibility, risks, architecture, and build-versus-buy decisions; guides solutions through incubation, commercialization, and scale. Designs agentic AI workflows, platforms, and reusable capabilities while ensuring security, reliability, compliance, and performance. Partners with product, business, sourcing, and engineering teams, and mentors technical staff. Builds production-grade distributed software and data-driven systems using backend, cloud, data processing, and AI technologies.

Provides senior technology and architecture leadership for new business opportunities involving AI, agentic systems, distributed software, and data-intensive platforms. Evaluates technical feasibility, risks, build-versus-buy options, architecture, scalability, security, and reliability across incubation and commercialization phases. Partners with product, business, sourcing, and engineering teams, mentors technical staff, and guides reusable platforms, engineering standards, and production-ready AI solutions.

Leads technology strategy and architecture for new business opportunities involving AI, agentic systems, data platforms, and distributed software. Evaluates build, partner, invest, acquire, or discontinue options; guides solutions from incubation through scale; identifies reusable architectures and capabilities; assesses technical risks; and influences engineering standards. Partners with product, business, sourcing, and engineering teams while mentoring technical professionals and ensuring security, reliability, compliance, and scalability.

Leads technology strategy and architecture for new AI-enabled business opportunities. Evaluates technical feasibility, risks, build-versus-buy pathways, and target-state architectures. Guides agentic AI, platform, integration, security, reliability, and scalability decisions from incubation through commercialization. Partners with product, business, sourcing, and engineering teams; defines reusable capabilities; and mentors engineers and architects. Requires extensive distributed software engineering, data-intensive application, cloud, AI, and enterprise architecture experience.

Serves as the senior technology and architecture advisor for new business opportunities. Partners with product, business, sourcing, and engineering teams to assess feasibility, shape AI-enabled solutions, evaluate build-versus-buy paths, identify technical risks, and guide architecture from incubation through scale. Designs agentic workflows and intelligence systems, defines reusable platforms and target architectures, ensures security and reliability standards, and mentors engineers and cross-functional partners.

Serve as the principal technology and architecture advisor for new business opportunities. Evaluate technical feasibility, risks, platforms, and build-versus-buy decisions; guide AI-enabled and agentic system design; shape architectures through incubation and commercialization; and establish reusable capabilities and engineering standards. Partner with product, business, sourcing, and engineering teams while mentoring technical professionals and ensuring secure, reliable, scalable production systems.

Drive enterprise sales of Microsoft Modern Work, AI, Copilot, security, and cloud solutions to Spanish-speaking customers. Identify business needs, build executive relationships, develop tailored value propositions, coordinate partners and technical specialists, and manage opportunities through forecasting, cross-selling, up-selling, and closure. The role requires end-to-end solution selling, competitive knowledge, and collaboration across virtual sales teams.

Leads product strategy, roadmap, lifecycle ownership, adoption, and measurable outcomes for a greenfield enterprise AI platform. Defines platform boundaries, governance controls, evaluation, registration, and cost-tracking capabilities while translating evolving risk, privacy, security, and GxP requirements into usable product features. Partners with engineering, design, legal, compliance, risk, security, and global agent-building teams to prioritize investments, guide delivery, communicate direction, and drive platform adoption.

Lead strategic product domains for Mastercard's next-generation disputes platform, define roadmaps, prioritize investments, and scale AI-enabled capabilities across engineering, data science, and design teams to improve dispute resolution, automation, and customer outcomes.

Lead product strategy and execution for Mastercard's next-generation disputes platform. Define domain vision, prioritize roadmaps, drive AI-enabled automation and predictive decisioning, partner with engineering, data science, and stakeholders, and influence executive investment to scale platform capabilities and improve customer and operational outcomes.