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

Lead storytelling and communications for Pfizer's AI-native engineering transformation: set strategy, create content and live events, manage budgets and agency relationships, build cross‑functional engagement, track success metrics, and lead a storytelling team to translate engineering work for executives and broader audiences.

The Revenue Systems Manager leads the architecture and governance of Salesforce and related systems for revenue management, ensuring scalability and operational excellence while providing technical mentorship and support.

Lead EMEA Employee Relations, Labor Relations, and HR Generalist services. Define regional strategy, manage Works Council and union relationships, oversee investigations, optimize hybrid service delivery, drive transformation, implement data-driven tracking and AI-enabled insights, and partner with HR COEs and business leaders to support M&A and growth.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

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

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

Lead research and deliver executive-level insights on enterprise AI strategy, producing thought leadership, advising clients and vendors, supporting sales and conferences, mentoring analysts, and driving research agenda and process improvements to accelerate clients' AI value realization.

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.

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

Define and enforce enterprise architecture for Migrant Solutions. Design and implement software landscapes, APIs and web-based applications. Create roadmaps, plans, POCs, and technical guidance. Track risks and ensure solutions align with organizational requirements and enterprise architecture.

The role involves providing employee relations guidance, handling grievances and investigations, maintaining HR data integrity, and leveraging AI tools to improve processes.

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.

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.

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.

Design, build, and deploy agentic AI and multi-agent systems for end-to-end supply chain automation. Integrate LLMs, RAG, and vector databases, implement cloud-based production solutions with MLOps, CI/CD, Docker/Kubernetes, and measure operational impact.

As an AI Engineer, you will build AI agents for preventive health, focusing on reasoning, clinical workflows, and ensuring reliable production systems.

As a Senior AI Product Manager, you will own the AI Travel Agent product, leading the full post-booking servicing scope while collaborating with engineering and customer success on product discovery and delivery.

This role involves managing Microsoft Commercial Marketplace integrations, evaluating opportunities, conducting feasibility assessments, and leading R&D for novel API integrations and enhancements.

Design, deploy, and maintain production-scale AI/ML systems for personalization, semantic search, and RAG. Own vector database strategy, data models in BigQuery, embedding and retrieval pipelines, and GCP-based AI services. Partner with product and marketing teams and set engineering standards for reliability and production ML.

Manage HR data quality and AI readiness by investigating data issues, performing root-cause analysis, defining remediation actions, and implementing validation/automation. Partner with Workday, HR, Payroll, and IT stakeholders to enforce global data standards, monitor anomalies, and support data standardization for reporting and AI/ML use.

The AI Content Expert II will generate annotations and training data for Large Language Models across multiple formats, ensuring quality and compliance with guidelines while collaborating with scientists and engineers.