Top Artificial Intelligence Jobs in Spain

Own the end-to-end UX for an AI application across mobile and web. Design user flows for AI-assisted tasks, including intent capture, progress tracking, confirmations, error recovery, and complex system states. Conduct usability research, create wireframes and high-fidelity designs in Figma, contribute to design systems, and collaborate with product, engineering, and machine learning teams to build trustworthy, controllable user experiences.

Leads independent Line 2 oversight, risk assessment, assurance, and constructive challenge for AI technology, cyber, data, and operational risks. The role evaluates generative AI and agentic systems, oversees controls and risk-in-change activities, produces executive reporting, escalates material issues, and improves AI risk frameworks. It also provides technical leadership, stakeholder influence, coaching, and quality review across a complex regulated financial-services environment.

Supports the design and development of generative AI applications, agentic solutions, and AI-enabled software prototypes. Responsibilities include building Python components, integrating APIs and enterprise systems, experimenting with LLM frameworks, prompt design, RAG, embeddings, and tool use. The intern will analyze use cases, research emerging AI techniques, collaborate with technical teams, document solutions, and potentially contribute to machine learning, data science, deep learning, or computer vision projects.

Own email and lifecycle marketing for Rove Next, including campaign calendars, automated flows, segmentation, deliverability, list health, quality control, and performance analysis. Build practical AI workflows into daily marketing operations, collaborate with designers and advertising partners, maintain brand standards, and translate results into business recommendations. The role requires independently identifying and solving problems while preventing errors before campaigns reach customers or leadership.

Develop, evaluate, and deploy AI and machine learning methods for clinical trial design, dose optimization, biomarker discovery, digital twins, and safety and efficacy analysis. Lead end-to-end data science projects, build reusable clinical data products, establish evaluation frameworks, and partner with clinical, biometrics, and regulatory teams. Provide technical guidance, advance modern AI methodologies, and translate complex models into reliable, regulatory-ready solutions for pharmaceutical development.

Develop and deploy AI and machine learning methods for clinical trial design, dose optimization, biomarker discovery, digital twins, predictive modeling, and safety signal detection. Lead data science projects from framing through validation and adoption, collaborate with clinical, biometrics, and regulatory teams, build reusable data products, evaluate advanced AI methodologies, establish clinical AI benchmarking frameworks, and provide technical coaching and scientific leadership.

Build and ship LLM-powered tools, agents, and automations for marketing and growth teams. Identify repetitive processes, integrate AI with advertising, attribution, analytics, and marketing platforms, and deliver end-to-end solutions for reporting, creative generation, campaign analysis, and channel optimization. Measure business impact, collaborate with marketing stakeholders, and operate autonomously in a fast-moving startup environment.

Build full-stack data and AI applications, platform services, APIs, GenAI capabilities, and cloud-native infrastructure for Sanofi’s OneMesh ecosystem. Responsibilities include developing with React, TypeScript, Node.js, Python, and FastAPI; implementing RAG and agent orchestration; deploying on AWS and OpenShift; maintaining Terraform infrastructure and CI/CD pipelines; and ensuring security, observability, reliability, and production readiness. The role collaborates with data, machine learning, product, and business teams.

Design and build advanced GenAI workflows for image, video, audio, editing, automation, and multimodal content generation. Create showcase demos for investors, enterprise clients, marketing, and tutorials. Experiment with AI models, model chaining, LLM agents, and personalization pipelines; translate workflows into user-friendly widgets; and collaborate with AI engineers, UX designers, and product leaders to improve the platform.

Define and govern enterprise data architecture across batch, streaming, lakehouse, warehouse, and operational workloads. Lead data-mesh adoption, data products, semantic models, governance, quality, lineage, security, and observability. Architect real-time event-processing platforms using Kafka, Kinesis, Flink, Spark, and Databricks, while guiding cloud data platforms and MLOps capabilities across AWS and GCP. Advise architects and domain teams, lead RFCs and design reviews, resolve critical architectural issues, and mentor data and engineering professionals.

Lead product direction, roadmaps, standards, and success metrics for major areas of KIRA’s AI neobank app. Guide PMs, product owners, designers, and engineers across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Translate regulatory and business constraints into product decisions, drive launch quality, and foster rapid, user-focused continuous improvement.

Own product areas for KIRA’s AI stockbroking and financial services applications. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use research, feedback, experiments, and performance data to improve products after launch.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Lead creative direction and production of culturally relevant Canva templates and elements for the Spanish market. Translate country strategy into high-performing content, manage local freelancers and creators, oversee quality and brand adherence, analyze content performance, identify market gaps, and guide AI-enabled production workflows. Partner with marketing, SEO, product, strategy, and country teams while communicating results to senior leadership and fostering a high-performing creative culture.

Own relationships with 40–50 enterprise EMEA clients, leading onboarding, product adoption, usage monitoring, renewals, and account expansion. Help build scalable customer success playbooks, manage NRR and GRR KPIs, and contribute to team OKRs. The role requires demonstrating value for technical SaaS products, navigating complex stakeholder environments, solving customer challenges, and driving commercial outcomes.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launches. Partner with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use research, feedback, experiments, metrics, and production insights to improve decisions and iterate after launch. Balance speed, user experience, business impact, compliance, and operational complexity while driving execution with high ownership.

Leads global commercial customer data governance, Customer 360 strategy, segmentation, data quality, reporting, and insight initiatives. Owns customer definitions and hierarchies across SAP and Salesforce, establishes governance and KPI standards, and aligns reporting and analytics investments with business value. Partners cross-functionally to improve data quality, reporting adoption, forecast accuracy, and AI readiness while driving change management and value realization across the commercial organization.

Develop formal and informal verification pipelines for scientific reasoning, curate and analyze data, benchmark AI systems, identify design flaws, and propose improvements. The role focuses on reliable, interpretable AI for science and engineering, requiring collaboration with mathematicians, AI engineers, software engineers, Lean4 developers, and physicists. Candidates will contribute to research, stay current with advances, share knowledge, and help integrate AI solutions into commercial products.

Senior Director role focused on AI infrastructure leadership. The posting provides no substantive responsibilities, qualifications, or specific technical requirements; it consists primarily of internal-transfer instructions, company information, benefits, and placeholder compensation language.

Partner with strategic customers to design, prototype and implement AI-driven process intelligence solutions using Celonis and leading LLM/ML technologies. Deliver proofs-of-value, present ROI to executives, support adoption, and create reusable best-practice assets.

Lead the design, implementation, support, and optimization of Microsoft 365 and digital workplace solutions for global users. Provide technical consultancy, manage critical incidents, ensure security and reliability, integrate AI capabilities, analyze workplace data, document processes, and mentor junior engineers. Collaborate with stakeholders and IT teams to translate business requirements into scalable, highly available technical solutions.

Leads composite manufacturing engineering, R&T, industrialization, design-for-manufacturing, process optimization, PFMEA, quality control, tooling, supply chain coordination, maintenance interfaces, and production support. The role defines detailed build processes, manages technical information, evaluates industrial impacts, supports continuous improvement and CAPEX planning, and collaborates with cross-functional Airbus teams. Requires extensive composite manufacturing experience, CATIA expertise, analytical problem-solving, and strong teamwork.

Lead AI transformation across Sales, Marketing, Customer Success, Partnerships, and Revenue Operations. Identify high-value opportunities, design and deploy production AI agents, agentic workflows, automations, integrations, and enterprise solutions, then drive adoption and measure business impact. Partner with functional leaders, make sound decisions about AI suitability, redesign operating models, improve reliability and governance, and mentor colleagues while establishing reusable standards across the organization.

Lead the strategy, development, deployment, and scaling of AI-powered health products across governments and public health systems in the Global South. Own product roadmaps, execution, stakeholder adoption, partnerships, grant development, and portfolio expansion. Collaborate with engineering, data science, government, donor, and implementation teams to embed sustainable, measurable AI solutions across Africa and Southeast Asia.

Own product marketing for Cyara’s Agentic AI assurance products, including positioning, messaging, go-to-market launches, competitive intelligence, sales enablement, technical content, and cross-functional collaboration. The role targets enterprise buyers through sales-led motions and requires measurable pipeline impact, strong writing and presentation skills, and comfort working with technical teams. Experience in AI, contact centers, QA, testing, observability, or monitoring is advantageous.