Top Artificial Intelligence Jobs in Spain

Develop and maintain an AI-driven pipeline to auto-generate, process, and publish real-life and digital quests. Integrate AI frameworks, design scalable automation workflows, analyze user data to improve generation quality, build API integrations, participate in architecture and documentation, test with pytest/unittest, and collaborate with cross-functional teams to validate LLM outputs against real-world data.

Lead enterprise AI architecture for Cigna's international markets: define generative AI platform strategy, reference architectures, model lifecycle patterns, and governance. Drive selection of tools and partners, ensure secure scalable model access, vector search and document intelligence, mentor teams, support delivery from concept through production, and align AI investments with regulatory, operational, and commercial objectives.

Develop, fine-tune, and productionize ML models for mobile apps. Own data curation, experimentation, evaluation, deployment, and integration with mobile/backend teams while tracking quality metrics.

Design and scale AI systems for healthcare conversations, ensuring low-latency performance and reliable orchestration of speech and LLM pipelines.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.

Evaluate and generate Spanish-language AI outputs across text, audio, and video; ensure cultural appropriateness, accuracy, and clarity; provide structured annotations and feedback following guidelines; participate in calibration and QA to improve models.

The AI Software Engineer will develop and improve Joko's AI shopping assistant, focusing on architecture, evaluation, data management, and personalized user experiences, while collaborating with product teams.

As a Principal Forward Deployed Engineer, you'll deploy JetBrains Central in enterprise environments, implement AI governance, mentor teams, and advise customers on AI-native development best practices.

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.

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.

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.

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