Top Artificial Intelligence Jobs in Barcelona

Lead the design and delivery of AI-powered Notebook experiences, combining deterministic systems with LLM capabilities. Build reliable backend services, context-discovery and analysis platforms, and integrations with third-party AI agents. Partner with product and design to connect technical decisions to customer outcomes, establish AI engineering practices, mentor engineers, and operate production systems supporting customer deployments.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Own the end-to-end UX for an AI-powered video intelligence platform. Lead discovery, research, information architecture, interaction design, prototyping, usability testing, high-fidelity design, and engineering handoff across web and mobile. Build scalable design systems, use analytics to improve workflows, and collaborate with Product, Engineering, and Leadership to shape strategy and product direction for complex enterprise security and analytics experiences.

Leads research and production development of generative AI and large language model systems for cybersecurity. Responsibilities include defining AI research strategy, developing novel reasoning and summarization approaches, selecting model architectures and deployment strategies, building large-scale production systems, mentoring scientists, establishing evaluation standards, and guiding cross-functional technical initiatives. The role also represents the company through publications, speaking engagements, and technical thought leadership.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.

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.

Lead Essity’s AI technical architecture strategy and roadmap, translating business goals into scalable end-to-end AI solutions. Partner with business leaders, data scientists, AI engineers, and technology providers to prioritize and pilot use cases. Evaluate AI technologies, conduct data/model/software audits, ensure compliance with AI risk standards, and support model recalibration and retraining.

Research and write high-quality content about venture capital markets, funding rounds, funds, investors, portfolio companies, and company investments. Own longer blog posts and investment-related articles, while collaborating with the Head of Brand on publishing, scheduling, and distribution across LinkedIn, the blog, newsletters, and X. The role is remote, async, and designed to develop into a VC analyst and content position.

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.

Manage multi-country payroll operations, compliance, audits, controls, vendor relationships, payroll analysis, and process improvements. Lead payroll system automation and scalability initiatives while ensuring accurate and timely processing across jurisdictions. Partner with finance, HR, treasury, and external providers, monitor regulatory changes, and mentor a global payroll team in a distributed technology environment.

Own new business and ARR growth by managing B2B SaaS sales from qualified meeting through signature and handover. Lead complex, multi-threaded deal cycles with senior legal, business, IT, and procurement stakeholders. Conduct discovery, coordinate pilots and proofs of concept with Solutions Engineering, manage targets and forecasts, partner with BDRs, and provide cross-functional market feedback. Contribute to sales playbooks, process improvements, and go-to-market strategy.

Leads end-to-end eClinical proposal development from RFP/RFI intake through submission and delivery handoff. Oversees study assessment, scope feasibility, pricing, budgets, proposal narratives, and compliance. Manages cross-functional stakeholders, vendors, and the proposal team while coaching staff and improving capabilities. Drives analytics, automation, AI adoption, process optimization, and commercial competitiveness. Requires eCOA expertise, clinical research or CRO experience, advanced Excel, Salesforce proficiency, risk management, and at least five years of relevant experience.

Drive new-business revenue across Spain and Portugal by prospecting, developing territory plans, managing complex B2B sales cycles, expanding existing accounts, engaging C-level stakeholders, negotiating deals, maintaining pipeline forecasts, and collaborating with internal teams. The role requires strong consultative selling, presentation, negotiation, and closing skills, along with Spanish and English fluency and customer travel availability.

Design and operate AI-ready data products, semantic layers, governed datasets, and natural-language analytics experiences on Snowflake or Databricks. Build ETL/ELT pipelines using dbt, Airflow, Snowpark, and PySpark; deploy Cortex or Genie capabilities; develop RAG and conversational analytics applications; and implement governance, security, lineage, auditability, and performance optimization. Partner with Finance stakeholders to define trusted KPIs, hierarchies, business glossaries, and semantic models in a regulated environment.

Lead enterprise AI and cloud sales conversations, manage territory planning and forecasting, collaborate with partners and stakeholders, accelerate deal closure, and run workshops and seminars to drive customers’ digital transformation on Microsoft Azure.

Build and ship AI agents that automate insurance brokers’ back-office workflows, including policy reading, claims handling, and insurer correspondence. Develop the platform supporting these agents, own features from concept through production, collaborate with product and business teams, and improve personal automation tooling. The role emphasizes rapid growth, high ownership, pragmatic engineering decisions, and production experience with Node.js and TypeScript.

Build Python-based backend services, APIs, and integrations that embed AI capabilities into a SaaS platform. Develop scalable customer-facing features, connect AI outputs to workflows and dashboards, collaborate with product, design, and platform teams, and implement observability, monitoring, and error handling. Contribute to the AI integration stack, including SDKs, MCP servers, and LLM orchestration.

Design and deliver enterprise AI automation using Azure AI Foundry and Python, including document understanding, NLP, agentic workflows, RAG, embeddings, and vector search. Build reusable AI components, secure integrations, evaluation and governance frameworks, and production-ready services with testing, monitoring, observability, and responsible AI safeguards. Collaborate with Payroll and Product stakeholders to identify automation opportunities, translate business needs into technical designs, and guide AI architecture and engineering standards.

Join Welo Data’s Swedish AI Trainers Network as a flexible, remote contributor. Participants may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and review cultural and linguistic accuracy for AI systems. This is a talent community rather than an active opening. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s remote Kyrgyz contributor network for potential AI data projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. This is a talent-community opportunity rather than an active job opening.

Join Welo Data’s Romanian contributor network for flexible, remote AI projects. Potential work includes annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and reviewing cultural and linguistic accuracy. Applicants need native or near-native Romanian, English proficiency, digital tool comfort, attention to detail, and residence in Romania or Moldova. This is a talent network rather than an active opening, with project scope, timelines, and compensation provided when opportunities arise.

Join Welo Data’s Tamil contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic quality review. This is not an active opening. Projects vary in length and compensation, with details provided before each assignment.

Join Welo Data’s remote Bosnian AI contributor network to support flexible projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; and prompt creation for large language models. Contributors help improve linguistic, cultural, and industry-specific accuracy in AI systems. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. Native or near-native Bosnian, English proficiency, digital-tool comfort, and strong attention to detail are required.

Join Welo Data’s contributor network for potential flexible, remote AI projects involving text, image, and audio annotation, search and chatbot evaluation, prompt creation, and cultural or linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. Applicants must be English-fluent, detail-oriented, comfortable with digital tools, and based in Malaysia, India, the Philippines, or Indonesia.

Join Welo Data’s remote Tajik contributor network for potential AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and details provided before each assignment.