Top Artificial Intelligence Jobs in Barcelona

Leads Pfizer’s enterprise applied AI strategy, architecture, governance, operating model, and transformation efforts. Drives portfolio-level technical decisions, reusable capabilities, standards, and measurable business outcomes. Provides hands-on architecture and code review using modern AI and agent frameworks while leading engineers, contractors, and vendors. Oversees quality, security, performance, spending, and technical direction, mentors technical leaders, and evaluates emerging technologies and industry trends.

The VP Field Marketing is responsible for leading marketing strategy and execution in Europe, focusing on demand generation, brand awareness, and pipeline development while collaborating cross-functionally and driving a data-driven culture.

Design, deliver, and continuously improve scalable production AI solutions using LLMs, RAG, agentic AI, machine learning, and document intelligence. Build cloud-native systems on Azure using software engineering, architecture, DevOps, and MLOps practices. Own AI platforms and models across deployment, monitoring, security, governance, and optimization. Lead technical initiatives, collaborate with product and business teams, mentor engineers, and translate business needs into measurable outcomes.

Senior Legal Counsel serving as a strategic legal partner to Roche’s global digital teams. Advises on data privacy, AI, software commercialization, IT law, cybersecurity, and digital health projects; drafts and negotiates complex technology, R&D, licensing, and partnership agreements; develops privacy policies and legal strategies; coordinates compliance with global regulations; and trains teams on emerging AI and IT legal issues.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Drive development and deployment of AI solutions, translating business needs into product requirements, managing backlogs, and coordinating cross-functional teams.

The Senior Data & AI Strategist will lead data and AI transformation initiatives, advise clients, and ensure impactful strategy delivery, while mentoring team members.

Sell KBC and Yokogawa consulting and technology solutions across Caucasus & Central Asia. Build and manage a large pipeline, source and structure complex, multi-discipline projects, integrate software into consulting deals, lead cross-functional teams, maintain strategic client relationships, and meet/exceed sales targets while ensuring CRM hygiene, compliance, and continuous professional development.

Lead and develop globally distributed Data and AI teams to deliver production Data/AI solutions. Drive talent development, operational excellence, stakeholder alignment, and responsible AI practices while partnering with Product and Engineering to set priorities, roadmaps, and delivery metrics.

Own the full sales cycle across Eastern Europe and the Balkans, from prospecting and pipeline generation through closing and expansion. Build territory plans, maintain pipeline coverage, forecast accurately, and use MEDDPICC to qualify and advance opportunities. Leverage AI sales tools for preparation, coaching, and deal execution. Develop hospitality expertise, sell Lighthouse’s platform on business value, engage senior stakeholders, attend industry events, and consistently achieve sales targets.

Leads the global execution of Roche’s AI-first Autonomous Remote L1 Support Program. Responsibilities include redesigning and harmonizing support workflows, coordinating CCaaS and GenAI dependencies, managing milestones and benefits, applying ADKAR change management, leading multifunctional teams, resolving stakeholder and compliance issues, and presenting to senior leadership. The role drives omnichannel support adoption, autonomous resolution, operational efficiency, and global business impact across Diagnostics Customer Support.

Architect and build the AI layer for Neo4j’s Hume Maestro platform. Responsibilities include setting the AI technical roadmap, contributing hands-on to production code, designing scalable AI architectures, establishing model evaluation and deployment practices, integrating AI with front-end and platform systems, and collaborating with Product and Science stakeholders. The role may eventually evolve into leading and mentoring a dedicated AI engineering team.

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

Owns commercial success, revenue, and strategic relationships for embedded HR technology partners. Responsibilities include managing a $10M+ annual bookings target, developing partner sales motions, enabling partner sellers, driving pipeline and ARR growth, resolving commercial issues, leading executive business reviews, expanding partnerships, coordinating cross-functional teams, and managing partner account managers and embedded sales leads.

Lead a cross-functional squad to define product vision, roadmap and deliver new features for institutional English assessments. Translate business needs into requirements, write and prioritize epics and user stories, run agile ceremonies, collaborate with UX/development/marketing/operations, use data to iterate, and mentor colleagues to achieve measurable business outcomes.

Leads digital transformation across procurement by implementing and optimizing SAP, Coupa, ERP, e-sourcing, and supplier management technologies. Oversees data governance, integration, process improvement, category and spend analytics, supplier performance monitoring, and cross-functional project delivery. Evaluates emerging capabilities such as AI and RPA, manages stakeholder relationships, mentors team members, and drives procurement technology innovation and operational efficiency.

Build Solidgate’s new ML/AI function, developing production machine learning models, recommendation systems, and real-time transaction-routing decision systems. Own experimentation from ideation through A/B testing and deployment, engineer features from high-cardinality transactional data, integrate emerging AI technologies, and collaborate with Product, Engineering, and Data Platform teams on training and analytics pipelines.

Lead and develop Feedzai’s EMEA Solution Consulting team, remove operational blockers, and drive enablement and self-sufficiency. Partner with the EMEA General Manager and regional stakeholders on go-to-market execution, resource allocation, deal strategy, strategic pitches, and executive engagements. Collaborate with Sales, Product, Engineering, and Delivery to align market requirements, influence roadmaps, and ensure effective post-sale handoffs. The role is remote and requires up to 30% travel across EMEA.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

Own the AI agenda across Customer Operations by identifying, implementing, monitoring, and optimizing AI features such as chat and email agents. Manage multiple concurrent projects, align stakeholders, translate operational pain points into automation opportunities, and improve processes across Customer Support and Payments, Fraud & Verification. Track post-launch performance, resolve issues, and drive continuous operational excellence through analytical, creative, and cross-functional problem-solving.

Design and deliver AI-powered experiences for Datadog Notebooks. Build reliable backend services integrating LLMs and AI agents, manage model nondeterminism with evaluation/testing frameworks, partner with product/design, provide technical leadership, and operate production systems (on-call).

Design and develop enterprise Java applications while creating, deploying, and integrating AI, machine learning, LLM, and generative AI solutions. Build APIs and integration services, contribute to software architecture and code reviews, and support public-sector digital transformation initiatives. Ensure solution quality, performance, scalability, and security across production environments.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.