Top Artificial Intelligence Jobs in Spain

Design, build, and maintain production SaaS products that transform public web data into market intelligence. Develop AI- and LLM-based capabilities, modernize legacy systems toward scalable event-driven architectures, and work with distributed systems, cloud infrastructure, and domain-oriented design. Own projects from discovery through continuous improvement, collaborate across technical and customer-facing teams, improve engineering practices, and mentor less experienced engineers.

Lead end-to-end technical strategy for customer accounts, design scalable data and AI architectures, guide production deployments, drive Databricks adoption, and advise senior technical stakeholders. The role requires strong Python and SQL coding, distributed data systems expertise, public cloud experience, architecture leadership, customer-facing communication, and fluency in English and Portuguese.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Evaluate and label Spanish-language photos, graphics, videos, stickers, and designs; assess AI-generated content for linguistic quality, accuracy, and cultural appropriateness; build Spanish-specific datasets; meet labeling targets; refine annotations based on feedback; and collaborate with international data-labeling teams to maintain quality and consistency.

Drive enterprise AI adoption across Denmark by engaging customers, identifying digital transformation opportunities, proposing Copilot and intelligent-agent solutions, leading demonstrations and workshops, coordinating account teams and partners, analyzing competition, and advancing sales opportunities through deal closure and successful customer outcomes.

Leads an engineering track by empowering engineers, driving organizational and technical initiatives, improving collaboration with Product, and building a culture of ownership and continuous improvement. Responsibilities include managing ceremonies, hiring, onboarding, mentoring, performance management, career development, and scaling zero-to-one product initiatives. This is a people and organizational leadership role rather than a delivery management or hands-on technical authority position.

Join osapiens’ BDR Graduate Program focused on the UKI market. You will manage named accounts, conduct senior-level outbound outreach, identify business signals, run discovery calls, build qualified pipeline in HubSpot, and hand opportunities to Account Executives. The role also involves piloting AI SDRs and building lightweight AI workflows using research, enrichment, drafting, and monitoring tools. Success requires strong pipeline creation, executive engagement, commercial curiosity, resilience, and continuous experimentation.

Own product vision, strategy, roadmap, requirements, and end-to-end lifecycle coordination. Collaborate with developers, data scientists, researchers, business development, and customer success teams. Analyze product usage, report on KPIs, document user stories and release notes, track OKRs, and assess competitors and market trends in sustainability and financial investment.

Curricular internship for a final-year STEM student supporting Airbus’s Quality Department in Illescas. The student will complete a six-month, part-time practicum and final-year project focused on applying AI to manufacturing quality tools, predictive quality controls, quality management standards, and product excellence. Responsibilities require analytical problem-solving, programming and AI knowledge, collaboration, and English and Spanish proficiency in an international aerospace environment.

Leads the Public Sector, Education, and Non-Profit business unit with full P&L ownership, sales growth, strategic account development, vendor alliances, and delivery excellence. Manages enterprise sales cycles, public tenders, RFPs, presales, solution design, forecasting, profitability, and client relationships. Oversees cross-functional teams, resource allocation, career development, and customer lifecycle execution while driving Salesforce-enabled digital transformation initiatives.

Leads the Public Sector, Education, and Non-Profit business unit with full P&L responsibility. Develops sales strategies, manages enterprise accounts and vendor alliances, negotiates complex agreements, oversees public tenders and solution design, drives digital transformation growth, monitors financial and operational performance, and leads cross-functional teams through delivery and customer success.

Drive revenue and adoption of Zendesk’s AI products within a defined territory. Own sales quotas, prospect, conduct tailored demonstrations, support proof-of-concepts, and close new and expansion business. Partner with account executives, customer success, and regional leadership to develop sales strategies, identify cross-sell opportunities, model commercial value, and maximize automation-related revenue. Serve as an AI subject matter expert, enable sales teams, and communicate product updates and market insights.

Generate and nurture outbound leads, schedule product demos for Account Executives, guide prospects through the sales funnel, and serve as an expert evangelist for Lexroom.ai’s legal AI platform. The role involves collaborating closely with Account Executives to build a healthy sales pipeline and requires fluent Spanish and English communication.

Own and improve cashback offer operations across merchant setup, affiliate tracking, coupons, card-linked integrations, gift cards, and merchant performance. Analyze operational data, build health dashboards, investigate failures, design scalable processes, automate repetitive work with AI and Retool, manage outsourced resources, and collaborate with Product, Engineering, and commercial teams to resolve issues and improve reliability.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Build AI and Process Intelligence solutions for strategic customers, prototype generative AI use cases, execute Proof-of-Value projects, and demonstrate measurable business impact to executives. The role involves coding with Python, SQL, and PQL; applying RAG, agentic systems, and LLM orchestration; translating business requirements into technical solutions; supporting adoption and value realization; and contributing reusable best practices. The 12-month Orbit program includes mentorship, customer engagements, technical training, and development of enterprise software and value-selling skills.

Build AI-driven solutions on the Celonis Process Intelligence Platform for strategic customers. Responsibilities include AI discovery, prototyping, hackathons, agentic process transformation, proof-of-value projects, business value presentations, and supporting implementation and adoption. The role combines Python, SQL, PQL, machine learning, generative AI, customer consulting, technical solutioning, and executive communication, with specialization in business domains such as supply chain.

Manage roadmaps, requirements, releases, and launches for MRI AI medical-device products. Represent clinical users, prioritize features, coordinate cross-functional software, machine learning, clinical, regulatory, and delivery teams, and align stakeholders. Support agile development, resolve workflow questions, analyze market competition, and ensure product plans reflect EU MDR and FDA requirements.

Develop AI-driven Celonis solutions for strategic customers by discovering business challenges, building prototypes, executing Proof-of-Value projects, and demonstrating measurable business impact. The role involves generative AI solutioning, process intelligence, customer presentations, executive engagement, value realization, and reusable best-practice development. Candidates will use Python, SQL, PQL, and machine learning tools while specializing in business domains such as supply chain.

Performs daily and monthly investment performance calculations and multi-level attribution across equity, fixed income, and multi-asset portfolios. Analyzes alpha, allocation, selection, factor contributions, and risk-adjusted returns; partners with portfolio managers and client teams to explain results and resolve issues. Maintains GIPS-compliant procedures, controls, and documentation, investigates data and calculation breaks, and drives process improvements. Also develops controlled AI, automation, and advanced analytics use cases for performance measurement and exception management.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Own the end-to-end UX for an AI-powered video intelligence platform. Lead discovery, research, information architecture, interaction design, prototyping, usability testing, high-fidelity design, and engineering handoff across web and mobile. Build scalable design systems, use analytics to improve workflows, and collaborate with Product, Engineering, and Leadership to shape strategy and product direction for complex enterprise security and analytics experiences.

Build financial and strategic business cases for AI, security, observability, and cloud investments. Advise C-suite stakeholders, coordinate Sales, Engineering, and Customer Success teams, and tailor global strategies to Spanish and Italian markets. Lead industry initiatives, executive presentations, design-thinking workshops, and multi-stakeholder consensus-building around technology transformation and investment.

Leads research and production development of generative AI and large language model systems for cybersecurity. Responsibilities include defining AI research strategy, developing novel reasoning and summarization approaches, selecting model architectures and deployment strategies, building large-scale production systems, mentoring scientists, establishing evaluation standards, and guiding cross-functional technical initiatives. The role also represents the company through publications, speaking engagements, and technical thought leadership.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.