Top Artificial Intelligence Jobs in Barcelona

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.

The AI & Automation Specialist will enhance the recruiting process through automation, building applications, systems, and integrations to streamline candidate journeys and improve efficiency in Talent Acquisition operations.

Plan, acquire, develop and manage high-quality digital health-sciences content for multiple platforms. Recruit and manage clinical SMEs, negotiate contracts, oversee budgets, coordinate cross-functional teams, support market research, ensure content integration in company systems, and contribute to global product and testing initiatives.

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.

This position seeks a research-track faculty member in Artificial Intelligence for ESADE. Candidates should hold a PhD and demonstrate research and teaching potential in AI and quantitative methods.

Lead end-to-end delivery of iGaming features, coordinating Product, Development, QA, and Marketing. Manage timelines, resources, risks, third-party integrations, stakeholder communication, and continuous improvement through post-mortems to ensure timely, high-quality releases.

The role involves applying bioinformatics and systems biology tools, managing projects, and providing client service to improve biomedical research and drug development efforts.

As a Privacy & AI Analyst at Perk, you will develop privacy and AI governance programs, manage operational tools, ensure compliance with regulations, and enhance privacy culture within the organization.

As a Business Process Owner Assistant intern, you'll analyze processes, monitor KPIs, support project coordination, and suggest improvements.

Lead business development in Life Sciences, drive client acquisition, and develop AI & Data strategies. Mentor teams and foster collaborations across departments.

The Project Manager will lead software integration projects in the life sciences sector, managing resources, tracking progress, and ensuring timely delivery while collaborating with various stakeholders to improve platform solutions.

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

The role involves designing and deploying AI systems for clinical operations, developing models for decision-making, and ensuring AI implementation aligns with data governance standards. Responsibilities include collaborating across teams, enhancing operational efficiency, and advancing AI applications in a regulated environment.

The AI Engineering Intern will assist in developing AI solutions, work with teams to define requirements, and support production processes, focusing on machine learning and custom solutions.

Design and build an AI-native HR platform: backend systems (Python/Django/ASGI), integrate LLMs and agent frameworks, implement RAG/vector search, telephony/voice interfaces, and mentor junior developers while ensuring scalable, low-latency production deployments.

Design, build, and deploy LLM-powered solutions and scalable backend systems. Implement data extraction, semantic search, document analysis, agentic flows, and evaluation frameworks. Continuously evaluate, tune, and improve model performance while collaborating with product, design, and legal teams.

Conduct discovery and audit sessions to analyze support workflows, ticketing systems, and KPIs. Identify automation opportunities and design scalable AI-driven solutions (chatbots, NLP classification, auto-triage, agent assist). Assess client platforms (Zendesk, Freshdesk, Intercom), produce AI readiness assessments and roadmaps, and deliver clear, data-driven recommendations for implementation and ROI prioritization.

Coordinate and track cross-functional AI-focused marketing initiatives, streamline processes, evaluate AI-driven tools, and support planning and execution to improve speed to market and program effectiveness.

Coordinate and track AI-focused strategic marketing initiatives, working cross-functionally with product, marketing, and operations teams to streamline processes, improve speed to market, evaluate AI-driven tools, and ensure stakeholder alignment for effective program execution.

Coordinate and track AI-focused strategic marketing initiatives across marketing, product, and operations teams. Streamline processes, identify speed-to-market efficiencies, evaluate AI-driven tools, and ensure project alignment and visibility among stakeholders to enable effective execution of AI-driven marketing programs.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

As an Onboarding Executive, you will facilitate the onboarding process for new clients, ensuring smooth implementation and effective communication while building AI assistants tailored to client needs.

Assist clients with AI-related technical issues, providing support, troubleshooting, and collaborating with internal teams to ensure customer satisfaction.

The Analytics Engineer I will support reliable data development, collaborate with teams to ensure data quality, and apply AI literacy in data engineering tasks.

The Senior ML/AI Engineer will collaborate with data scientists to implement optimized ML workflows, develop tools for prompt management, and monitor system performance while managing data pipelines and integrating AI APIs.