Top Artificial Intelligence Jobs in Spain

Owns an AI neobank product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partners with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporates KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Applies AI and LLMs with evaluation, safeguards, human oversight, and reliability controls while aligning compliance, operations, treasury, finance, design, and engineering.

Own a technical product vertical end-to-end, including strategy, roadmap, metrics, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements across KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with rigorous evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI stockbroking product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own a financial product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgers, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, limits, licensing, and regulatory requirements. Apply AI responsibly with evaluation, safeguards, human oversight, and reliability controls while aligning engineering, compliance, operations, treasury, finance, and design.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, limits, privacy, and licensing requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI neobank product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with appropriate evaluation, safeguards, oversight, and reliability controls while aligning engineering, design, compliance, operations, treasury, and finance.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Integrate regulatory requirements, financial rails, and third-party dependencies. Apply AI with evaluation, safeguards, oversight, and reliability while aligning engineering, design, compliance, operations, treasury, and finance.

Own an AI investing product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, launch, and regulatory readiness. Partner with engineering on APIs, data, ledgering, reconciliation, security, scalability, and failure handling. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance. Ensure financial correctness, trustworthy user experiences, and deliberate trade-offs across regulated fintech constraints.

Owns an AI finance product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partners with engineering, compliance, operations, treasury, finance, and design to build reliable, auditable products across payments, remittance, insurance, wealth, and trading. Applies AI with evaluation, safeguards, human oversight, and failure handling while managing regulatory requirements, financial rails, security, scalability, and product trade-offs.

Own a financial product vertical end to end, defining strategy, metrics, roadmap, technical direction, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed regulatory requirements, manage financial rails and third-party dependencies, and apply AI with safeguards and evaluation. Align engineering, design, compliance, operations, treasury, and finance while balancing reliability, cost, speed, correctness, and user experience.

Lead the architecture and production delivery of AI agents and intelligence systems for payments. Build reliable, low-latency LLM applications with tool use, orchestration, memory, RAG, multilingual conversations, evaluation, observability, and safety guardrails. Develop merchant intelligence and AI operations automation, mentor engineers, establish technical direction, and collaborate across Product, Data Science, and engineering teams in a compliance-sensitive global environment.

Own an AI stockbroking product vertical end to end, including strategy, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI neobank product vertical end to end, including strategy, roadmap, technical design, delivery, regulatory requirements, and launch. The role partners with engineering and cross-functional teams across payments, financial rails, compliance, treasury, and finance. It requires applying AI responsibly, ensuring reliable money movement, managing failure modes, and balancing correctness, speed, cost, scalability, security, and user experience.

Own an AI investing product vertical end-to-end, including strategy, roadmap, metrics, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements such as KYC, transaction monitoring, privacy, and licensing. Apply AI with evaluation, safeguards, oversight, and failure handling while aligning engineering, design, compliance, operations, treasury, and finance.

Define and maintain enterprise AI reference architectures, reusable solution patterns, and MLOps/LLMOps standards. Guide subsystem designs for scalability and reuse, update engineering standard work and QMS for AI, partner with Digital/IT on platforms and integrations, mentor Embedded AI Architects, and serve as technical escalation for high-risk AI initiatives across Wind Engineering.

Develop, deploy, and maintain scalable AI/ML pipelines and production models, including LLMs and generative AI. Optimize model performance, latency, and cost across AWS, GCP, and Azure. Apply MLOps practices such as CI/CD, versioning, monitoring, logging, and maintenance. Collaborate with data scientists, software engineers, solution architects, and cross-functional teams to integrate AI capabilities into products and workflows.

Develops end-to-end full-stack applications and AI-enabled solutions for Finance transformation. Responsibilities include building .NET, Python, and frontend applications; designing REST APIs; implementing Azure OpenAI, RAG, vector search, OCR, and document processing solutions; managing Azure cloud, DevOps, CI/CD, deployments, monitoring, and production support; and collaborating with architects, stakeholders, and global agile teams.

Build and operate data and AI governance systems, including data quality testing, catalogs, metadata, lineage, ownership frameworks, model inventories, and risk workflows. Partner with data, engineering, legal, privacy, security, and business teams to support GDPR, SOC 2, and EU AI Act readiness. Enable self-service analytics and responsible AI through documentation, access governance, audits, guardrails, and automated quality monitoring.

Lead research and produce thought-leading insights on application security and AI-enabled development. Advise clients, deliver presentations, mentor analysts, support sales, drive research agenda, and improve processes while providing actionable recommendations and market analysis.

Owns an AI-focused financial product vertical end to end, including strategy, roadmap, metrics, backlog, technical design, money-movement correctness, reliability, security, regulatory requirements, and AI evaluation. Partners with engineering, design, compliance, operations, treasury, and finance to ship safely across external partner and regulatory gates. The role requires strong technical product leadership, regulated-domain experience, system-design fluency, hands-on LLM product experience, and sound judgment around AI risks and human oversight.

Lead product direction and execution for major areas of KIRA’s AI stockbroking app. Own roadmaps, priorities, product standards, success metrics, launch quality, and continuous improvement across multiple squads and financial-service workstreams. Guide product managers, product owners, designers, and engineers while balancing user experience, data, engineering, regulatory, operational, and business considerations. The role also involves mentoring product leaders and simplifying complex financial products into usable customer journeys.

Lead product direction, strategy, roadmaps, standards, and success metrics for major areas of KIRA’s AI Investing 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, ensure launch quality, drive post-launch learning, and promote fast, user-focused, data-informed product development.

Lead product direction and execution for major areas of an AI-powered neobank app. Own roadmaps, priorities, product standards, success metrics, launch quality, and continuous improvement across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Guide PMs, product owners, designers, and engineers while balancing UX, data, engineering, regulatory, operational, and business considerations.

Customer-facing Applied AI engineer who prototypes and delivers AI-driven process intelligence solutions using Celonis PI and LLM technologies. Responsibilities include AI discovery, prototyping, PoV execution, executive presentations, value realization, and creating reusable best-practice collateral across EMEA, with a DACH focus.

As a Strategy Analyst, you will shape HR strategies, execute cross-country initiatives, analyze project impacts, and contribute to AI-driven HR processes.