Top Artificial Intelligence Jobs in Spain

Lead design, training, and evaluation of LLMs for translation and language-quality tasks; build robust evaluation frameworks; architect agentic multi-model workflows; own model development from data curation to production; run reproducible experiments; collaborate with product and engineering and mentor researchers.

Lead research and analysis of the enterprise AI services market, build market-sizing and forecasting models, publish thought leadership, advise C-level clients, present at events, support sales and peer review, mentor junior analysts, and drive research process improvements to deliver actionable insights on AI services and competitive dynamics.

The Senior SEO & AI Search Strategist will lead enterprise customers in SEO and AI search, developing strategies and plans, while advising senior decision-makers and driving measurable outcomes.

The Senior Product Manager will lead the Applied AI Learning team to create intelligent, personalized learning experiences by managing the product portfolio and ensuring effective utilization of data for learner progress.

The Senior Product Manager will lead the strategic roadmap, conduct market research, manage monetization strategies, and mentor a team while collaborating across various departments.

Own the AI platform roadmap and build reusable capabilities (prompting, RAG, tool calling, agents, evaluation, observability). Run discovery, prioritize AI investments, partner with Product, Engineering, Design and Data, guide other PMs, define success metrics, and ensure scalable, reliable AI-powered features that deliver customer and business value.

Lead and execute scalable sourcing and closing strategies, manage full-cycle recruiting, influence hiring goals, mentor teammates, drive process improvements and DEI, and communicate with senior leaders across regions.

Lead design and delivery of AI-powered features for CLion and C++ workflows. Architect AI integrations and agent tools, prototype and validate debugging, code-understanding, refactoring, and navigation workflows, build benchmarks and evaluation frameworks, and collaborate with product, ML, QA, and engineering teams to set technical direction and roadmap for AI-assisted C++ development.

Own end-to-end product for a slice of Nebius AI compute platform: define strategy, APIs, and roadmaps; drive cross-team delivery; conduct structured discovery; measure adoption and platform outcomes; engage engineering as a technical peer; and close operational feedback loops to improve reliability and customer experience.

Lead migration to scalable cloud infrastructure, build and optimize high-concurrency React/Next.js and Node.js applications, deploy and tune production LLM integrations (OpenAI/Groq), and implement monitoring and cost-efficient reliability practices.

The Expert AI Director will lead AI programs, manage relationships with stakeholders, ensure project alignment with business goals, and mentor teams.

The Associate Partner will advise C-level executives on AI and Data strategies, lead digital transformations, and develop client relationships in Life Sciences, while driving innovation and overseeing project delivery.

As a Senior AI/ML Engineer, you will develop and deploy AI initiatives, focusing on ML solutions and ensuring robust software integration. Responsibilities include coding, MLOps implementation, Agile delivery, and collaboration with stakeholders to translate business needs into technical solutions.

As an AI Machine Learning Engineer, you'll develop and deploy AI solutions, implement MLOps workflows, and partner with stakeholders to translate business challenges into technical requirements.

Lead AI engineering initiatives by establishing platform strategies, managing talent, enforcing technical standards, and ensuring the operational excellence of AI products.

Develop and maintain automation testing frameworks, execute tests, and implement AI-driven quality practices while collaborating with product teams.

Design and build autonomous AI agents and multi-agent systems, implement RAG pipelines for IT/AIOps, integrate agents with external systems, add observability and evaluation, and collaborate with product teams to define use cases and quality metrics.

Identify and validate high-value AI use cases for financial services, lead discovery workshops, build ROI-driven business cases, map and redesign workflows, define technical requirements and acceptance criteria, prototype solutions with no-code tools, implement AI governance and ontologies, and ensure business-aligned delivery and compliance.

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.

Lead strategy and product development for Santander/Openbank's mobility services, building AI-enabled propositions, partnerships, and scalable ecosystem products to extend customer relationships beyond vehicle financing across markets.

Support Shopify administration and Flow automations, maintain Google Apps Scripts and API integrations, manage access and SaaS subscriptions, configure Recharge subscription flows, and document processes. Use AI tools (Claude, ChatGPT) and n8n to build automations, test end-to-end, and liaise with vendors and internal teams to keep e-commerce systems running smoothly.

Build and ship AI/LLM-assisted features in Ruby on Rails: integrate LLM APIs, implement retrieval/context patterns, ensure reliability, tests, fallbacks, and production safeguards, and maintain system performance, security, and accuracy.

Own and evolve data and systems infrastructure (Supabase, n8n, HubSpot, external integrations), build and maintain automation pipelines and AI agent orchestration for content production, create simple UI integrations, evaluate and swap modular tools, and partner with leadership on architecture and roadmap.

Develop and deploy AI features for a SaaS product, architect scalable backends, optimize vector databases, and manage Azure AI infrastructure.

As a Staff/Senior AI Engineer, you will develop production-ready coding agents and improve AI model capabilities for JetBrains' software development tools. Collaborating with teams, you'll focus on model training, evaluation, and product integration to enhance user experience.