Top Artificial Intelligence Jobs in Spain

Define and enforce enterprise architecture for Migrant Solutions. Design and implement software landscapes, APIs and web-based applications. Create roadmaps, plans, POCs, and technical guidance. Track risks and ensure solutions align with organizational requirements and enterprise architecture.

Join CommBank's Data Science & AI Talent Community to build AI solutions improving customer outcomes while fostering responsible and ethical use of AI. Positions available range from Data Scientist to Principal Data Scientist, emphasizing collaboration and innovation in a flexible work environment.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

Manage a small set of key enterprise accounts end-to-end, drive pipeline and consumption revenue, build complex deal strategies with cross-functional teams, forecast and analyze account metrics, influence product roadmap, and support hiring and culture development.

The Revenue Systems Manager leads the architecture and governance of Salesforce and related systems for revenue management, ensuring scalability and operational excellence while providing technical mentorship and support.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

As a Business Process Owner Assistant intern, you'll analyze processes, monitor KPIs, support project coordination, and suggest improvements.

Drive development and deployment of AI solutions, translating business needs into product requirements, managing backlogs, and coordinating cross-functional teams.

Lead data science for personalization, recommendation, and GenAI chatbot products. Define roadmap, architect LLM and retrieval systems, manage a data science team, collaborate cross-functionally, and deliver scalable production ML with strong MLOps and measurable business impact.

Join the AI & Innovation team to build and maintain full‑stack Python services, integrate ML/LLM models into production, develop scalable APIs and data pipelines, optimise AWS infrastructure, and write unit/integration tests to ensure reliability for high‑traffic jobseeking products.

Create high-volume, high-quality marketing content using generative AI and AI agents. Produce video, image, and social content, develop attention-driving campaigns, track AI and culture trends, and iterate quickly with the marketing and founding team.

Build features, prototypes, and demos using modern AI coding tools and agents; iterate prototypes into reliable, scalable production; direct and evaluate AI coding agents; collaborate closely with founders and senior engineers; explore and improve AI development workflows to accelerate product delivery.

Lead AI-native engineering: build and ship production-grade features, convert AI-assisted prototypes into reliable systems, own architecture/security/quality, direct AI coding agents, define engineering standards, and work closely with founders on product and technical strategy.

Support development and maintenance of data pipelines and systems for analytics and visualization. Process and analyze large datasets, contribute to AI-driven projects, design RAG architectures, improve data quality, and collaborate with Product and AI teams to advance the Sonata platform.

Lead end-to-end ML product roadmaps and initiatives (e.g., Attachment Matcher, Transaction Categorizer). Collaborate with data scientists, engineers, and stakeholders to define, deliver, and monitor ML solutions that drive measurable business value for SMEs across Qonto's platform.

Provide EU-focused counsel on AI and privacy regulation (EU AI Act, GDPR, DSA); draft policies, DPA and contractual terms; translate legal requirements into technical and operational controls; advise product, engineering, and go-to-market teams; liaise with regulators and manage compliance programs and risk assessments.

Design, build, and maintain production AI workflows (agents, prompts, retrieval pipelines) integrating HR/Finance/Operations/CRM. Own orchestration, monitoring, evaluation, and continuous improvement to ensure reliable, auditable decision quality and measurable business outcomes.

Lead global product and engineering teams to design, build, and operate an enterprise-grade AI/ML platform for scientific research. Own strategy, partner with internal and external stakeholders, ensure security, GxP compliance, scalability, cost management, and developer experience across ML infrastructure, SDKs, tooling, and deployments.

Develop and maintain front-end and back-end AI-enabled web and desktop applications. Collaborate with cross-functional teams to design features, optimize scalability and security, troubleshoot defects, participate in code reviews, and implement AI assistant technology integrated with enterprise systems.

Design, build, and maintain automated test suites, evaluation scenarios, metrics, and datasets for AI-powered features. Automate QA workflows with Python and CI/CD, test APIs and ML model outputs, define quality strategy and acceptance criteria, create CI/CD quality gates, mentor teams, participate in code reviews, and document findings.

Design and deliver AI-integrated process transformation: assess industry trends, benchmark peers, specify future-state processes with AI agent interactions, conduct process analysis, build AI-assisted analytics and visualizations, and support change-impact and workforce adoption.

Support AI-driven process transformation by researching benchmarks, documenting workshop outputs, preparing slide and roadmap materials, maintaining reference IP, and capturing human-agent interaction points using AI tools and AX Design principles.

The Data Engineer role focuses on developing predictive models and enhancing data engineering practices to support business objectives. Responsibilities include writing clean code, model evaluation, and collaboration with a global team to improve reporting and campaign management.

Lead regulatory and quality activities for AI-based IVD diagnostic products: manage CE marking and IVDR strategy, act as PRRC, maintain ISO 13485-aligned QMS, drive technical documentation, risk management, PMS/vigilance, coordinate with notified bodies, ensure EU AI Act compliance, and support audits and supplier evaluations.

Develop, train and deploy machine learning and image-processing algorithms for medical applications. Prepare and clean datasets and ground truth, evaluate models, interact with clinicians and product managers, deploy models in real-time with engineering, draft technical documentation, and support research from literature review to experiment execution.