Top Artificial Intelligence Jobs in Spain

Senior individual contributor who architects, prototypes, and productionizes agentic AI and ML forecasting solutions for Finance. Designs multi-agent systems, ML models for forecasting and anomaly detection, establishes governance/responsible AI practices, and partners with FP&A, Engineering, IT, and Security to deliver measurable automation and forecasting impact.

The Senior AI Consultant will lead data analyses, assist in machine learning model training, build AI solutions, and train clients, focusing on optimizing pharma manufacturing operations.

Support SEO and AI-driven visibility efforts by running A/B tests, monitoring AI citations and LLM responses, automating SEO workflows, extracting insights from Semrush/Search Console/analytics, and assisting with SEO-optimized content and prompt engineering.

Embedded in a consulting team, design and implement Python-based AI data pipelines, integrate LLM APIs, build and deploy LLM-powered agents and MCP servers, create reusable automation and multi-agent systems, translate business problems into AI solutions, support project scoping, and communicate technical work to non-technical stakeholders across healthcare and life sciences projects.

Lead enterprise AI strategy, governance, and delivery for regulated life sciences. Own end-to-end AI/data architectures (Azure, Snowflake), mentor engineers, implement MLOps, ensure compliance, and drive adoption and measurable business outcomes.

Design, build, and scale ETL/ELT and real-time data pipelines for AI workloads (RAG, fine-tuning, batch inference). Transform unstructured data into vectorized formats, manage feature stores and vector databases, enforce data quality/governance, integrate event systems (Kafka), and collaborate with ML and engineering teams.

Lead end-to-end development and integration of AI features (LLMs/ML) into web/mobile apps and APIs. Design AI-first UX, craft and optimize system prompts, build agentic workflows (LangChain/CrewAI/AutoGen), implement error-handling and hybrid cloud/on-prem deployments, and collaborate within product squads using Agile/Scrum.

Define product vision and strategy via market research and data analysis; build prioritized roadmaps; collaborate with PMs, designers, and engineers to launch products; communicate with stakeholders; track performance and iterate post-launch.

This role involves defining AI safety measures, governance patterns, and privacy guidance. You'll enhance the AI platform, ensuring safe and efficient product deployments.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.