Top Artificial Intelligence Jobs in Madrid

The VP Field Marketing is responsible for leading marketing strategy and execution in Europe, focusing on demand generation, brand awareness, and pipeline development while collaborating cross-functionally and driving a data-driven culture.

Lead storytelling and communications for Pfizer's AI-native engineering transformation: set strategy, create content and live events, manage budgets and agency relationships, build cross‑functional engagement, track success metrics, and lead a storytelling team to translate engineering work for executives and broader audiences.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Lead research and deliver executive-level insights on enterprise AI strategy, producing thought leadership, advising clients and vendors, supporting sales and conferences, mentoring analysts, and driving research agenda and process improvements to accelerate clients' AI value realization.

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.

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.

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.

Lead a cross-functional squad to define product vision, roadmap and deliver new features for institutional English assessments. Translate business needs into requirements, write and prioritize epics and user stories, run agile ceremonies, collaborate with UX/development/marketing/operations, use data to iterate, and mentor colleagues to achieve measurable business outcomes.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Design and build backend services, APIs and workflows for an AI neobank app. Integrate with banks, payment gateways, insurers and data providers. Ensure reliability, security, observability, reconciliation and operational readiness for regulated financial products while partnering with product, mobile and operations teams to deliver scalable customer journeys.

Build production AI-native systems for BJAK's neobank: AI agents, RAG/LLM apps, tool-calling, automations and copilots for onboarding, KYC, support, risk, CRM and operations while addressing accuracy, hallucination, latency, cost, security and compliance.

Build end-to-end customer-facing and internal features for an AI neobank app: web flows, backend APIs, admin tools, dashboards, and operational systems. Integrate APIs, manage data flows, improve production reliability, and iterate using analytics and feedback. Collaborate with product, design, mobile, and operations teams and reduce manual work through internal tools.

Build and productionize AI-native workflows, assistants, and automation for a neobank app. Integrate LLMs, RAG, agents, APIs, documents and business systems; design evaluation, monitoring and fallback flows; prototype, test with users, and ship reliable AI systems across customer support, CRM, onboarding, claims, payments and operations.

The AI Creative - Copywriter role involves crafting engaging copy for various formats in the crypto and Web3 space, utilizing AI tools to enhance output while maintaining high editorial standards. Responsibilities include researching trends, collaborating with teams, and adapting language for diverse audiences.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Design, develop, and maintain production ML services and AI agents; extend agent capabilities and hybrid human-expert workflows; implement observability for agent quality and system reliability; collaborate across ML and engineering to deploy and operate LLM-based features in production.

Build and operate RoomPriceGenie’s knowledge layer: design taxonomy, ingestion/sync pipelines (Notion and business systems), retrieval and context-assembly services, provenance and access control, evaluation metrics, reusable components, and governance. Partner with Security, Data, and domain teams while writing production code and improving reliability.

Design, build, deploy, and operate production AI agents and supervised workflows. Integrate models with APIs, databases and tools, implement LLMOps (tracing, monitoring, versioning, cost controls), define autonomy gates and runbooks, create evaluation harnesses, and iterate on reliability, safety, and observability for agentic systems.

Design, build, and operate backend services for an AI-driven financial assistant. Own full SDLC, ensure performance, scale, resilience, and collaborate in small autonomous teams.

Build and ship native Android features for an AI Neobank using Kotlin. Design clean user journeys for financial services, integrate backend APIs, improve performance and reliability, use analytics to iterate, and implement on-device AI where it improves UX.

Build and ship native Android features in Kotlin for an AI-enabled neobank: implement payment, insurance, claims and financial flows; integrate backend APIs; improve performance, crash rates and UX; use analytics and on-device ML to enhance user journeys.

Build and ship native iOS features for an AI-enabled neobank using Swift. Create clean user flows for financial products, integrate backend APIs, improve performance and reliability, use analytics to iterate, and implement on-device AI where it improves UX.

Lead design, training, and evaluation of LLMs for translation and language-quality tasks; build robust evaluation frameworks; architect agentic multi-model workflows; own model development from data curation to production; run reproducible experiments; collaborate with product and engineering and mentor researchers.