Top Artificial Intelligence Jobs in Spain

Design, develop, and deploy AI/ML models and LLM-powered workflows (chatbots, copilots, automation). Integrate models with APIs and SaaS platforms, fine-tune prompts, work with structured/unstructured data, monitor performance, and collaborate with product and engineering teams to deliver scalable AI solutions.

As an AI Director, lead AI and data programs for Specialty Chemicals, drive account growth, mentor teams, and engage C-level stakeholders strategically.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will innovate model compression techniques for multimodal AI systems, focusing on quantization, knowledge distillation, and pruning for efficient deployment on edge devices.

As an AI Research Engineer, you will develop multi-modal reinforcement learning systems, focusing on optimization across data modalities, conducting research on algorithms, and building infrastructure for scalable training and evaluation.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

Lead the architectural design of Coupang's real-time streaming and AI platform, ensuring high performance and availability while integrating AI/ML models.

The Senior AI & Computer Vision Software Engineer will work on innovative software solutions, bridge research and production, and mentor others while working in an Agile environment.

Lead operations of large-scale NVIDIA GPU and Kubernetes-based AI infrastructure. Drive incident response, troubleshooting across Linux, networking, storage, and hardware. Improve reliability, observability, automation, and platform readiness; mentor engineers and define operational standards and runbooks.

Own and scale AI enablement: build core orchestration, LLMOps/MLOps platforms and governance, integrate generative AI into product, optimize cost/latency, run PoC-to-production delivery, upskill teams, standardize tooling and vendor strategy, and track adoption/ROI metrics.

Build and test AI-agent features and internal agent frameworks for a proactive cybersecurity platform. Implement and integrate generative AI systems (agents and RAG), stay current with AI research, and apply innovations to product development and evaluation within a security-focused environment.

The Director of Business Development will drive revenue through creating strategies for new business, managing client relationships, and overseeing sales processes while ensuring high service standards.

As an AI Strategist, you'll deploy AI agents for healthcare clients, optimize operations, drive performance improvement, and develop internal frameworks.

Lead rollout, adoption, and optimization of AI tools and the Knowledge Hub. Track adoption metrics, support LLM integrations, run training and enablement, maintain knowledge content, and produce dashboards and reports to measure AI impact.

Drive architecture development and large-scale pre-training for LLMs and multi-modal models. Design cross-modal alignment layers, curate massive datasets, run distributed training on multi-node GPU clusters, execute experiments, debug efficiency bottlenecks, and scale training systems for optimal performance.

The AI Enablement Specialist will coordinate AI training programs, support functional teams, and promote responsible AI adoption across the company.

Lead Oyster's data platform and AI strategy, centralize AI initiatives into production systems, build scalable data and MLOps infrastructure, modernize knowledge architecture and semantic search, partner cross-functionally to embed AI into products and workflows, enforce tooling standards and governance, and drive organizational adoption and change management for AI-assisted operations.

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

The AI Infrastructure Engineer will build and manage scalable model serving infrastructure for AI/ML applications, ensuring high efficiency and reliability in production.

Design, train, and deploy LLM-powered agents and recommendation/ranking models from large-scale logs; build recommendation APIs; support CI/CD for model/data versioning; design offline metrics and assist online A/B testing; collaborate in Agile teams and monitor SLAs/KPIs.

Serve as WAVE's operational lead: triage partner requests, turn vague asks into clear briefs, prioritize and manage backlog, protect capacity, maintain reusable assets, run governance cadence, and coordinate with technical partners to design scalable AI-enabled solutions that support business development across Banking & Financial Services and regional practices.

Create high-quality AI-generated videos, avatars, audio, and visual narratives; build lightweight front-ends and demos to showcase AI prototypes; translate technical outputs into reusable client-ready marketing and case materials; collaborate with AI engineers, analysts, and consultants to iterate quickly and polish presentations for internal and client use.

Build production-ready web features for Backbase Digital Banking and Wealth platforms using AI-assisted development. Implement Angular/TypeScript frontend components, integrate backend microservices and REST APIs, write and run unit/integration tests, ensure accessibility, security, and performance, and collaborate in a cross-functional Scrum squad while leveraging LLM tools and automated toolchains to accelerate delivery.