Top Artificial Intelligence Jobs in Spain

Owns commercial success, revenue, and strategic relationships for embedded HR technology partners. Responsibilities include managing a $10M+ annual bookings target, developing partner sales motions, enabling partner sellers, driving pipeline and ARR growth, resolving commercial issues, leading executive business reviews, expanding partnerships, coordinating cross-functional teams, and managing partner account managers and embedded sales leads.

Six-month part-time curricular internship for final-year Engineering or IT students completing a Bachelor's final project. The student will support Airbus initiatives involving Industry 4.0, connected systems, machine learning, data analysis, or digital twins. Candidates need B2-level English, analytical and problem-solving abilities, communication skills, teamwork, and the ability to work in an international environment.

Lead the design, build, and deployment of AI-powered agents, workflows, and integrations for global marketing. Evaluate buy-vs-build, integrate platforms (HubSpot, Salesforce, Meta, Google, LinkedIn), optimize AI economics, and measure ROI while collaborating with marketing teams to automate and improve campaign execution and content localization.

Designs and delivers production conversational AI systems, including multi-turn agents, LLM reasoning loops, and multi-agent orchestration. Leads end-to-end AI initiatives using Python, Azure, MLflow, and Databricks; benchmarks and maintains models; mentors junior staff; leads cross-functional teams; and partners with customers to develop solutions for complex enterprise domains.

Build and own AI-powered products and services for Scopely’s creative production teams, from prototyping through deployment, monitoring, and continuous improvement. Develop production-ready applications using LLMs, agents, automation frameworks, and cloud technologies. Collaborate with engineers, designers, artists, producers, and creative technologists to improve workflows, reliability, scalability, and operational efficiency across game teams.

Build and maintain full-stack internal tools, automated workflows, and customer-facing features using TypeScript, Node.js, and React. Integrate LLMs, AI services, third-party APIs, and external platforms. Use AI coding assistants to prototype, develop, test, and improve reliable software. Collaborate with internal users, product managers, designers, engineers, and the Chief AI Officer in an Agile environment while contributing to architecture, code reviews, UX, security, performance, and continuous improvement.

Provides technical leadership for AI engineering and SDLC automation across a platform engineering organization. Designs and delivers AI agents, copilots, developer tools, and automated workflows integrated into CI/CD pipelines and engineering platforms. Establishes responsible AI governance, safety guardrails, evaluation methods, and secure integration patterns. Leads cross-functional initiatives, mentors engineers, drives adoption, and measures improvements in productivity, quality, reliability, and developer experience.

Leads the insurance AI strategy and deployment of AI and GenAI solutions across underwriting, pricing, claims, fraud detection, customer service, and document processing. Oversees machine learning model development, validation, monitoring, governance, and regulatory compliance. Leads multidisciplinary teams, manages technology partnerships, drives research and proof-of-concepts, and promotes AI literacy and organizational change across insurance business units.

Join the Digital Innovation Team at Airbus to develop AI and machine learning models for business improvements using advanced analytics. Collaborate and communicate findings effectively while staying updated on technological advancements.

Design, build, and maintain high-scale distributed backend services and data pipelines for asset discovery, recognition, and enrichment. Integrate AI/ML into workflows, solve concurrency and fault-tolerance problems, participate in architecture and code reviews, mentor engineers, and use AI-assisted development tools in daily engineering practice.

Lead and grow a Finance Transformation and Automation practice focused on modernizing the office of the CFO. Drive go-to-market and sales, advise clients on solution architecture and technology implementation (including AI and process automation), manage delivery teams, conduct process analysis and optimization, and mentor staff while overseeing project execution and client relationships. Travel ~30%.

Drive enterprise sales of Microsoft Modern Work, AI, Copilot, and cloud solutions. Identify customer needs, develop business-value propositions, build stakeholder relationships, manage end-to-end sales cycles, collaborate with technical teams and partners, and exceed solution sales targets through forecasting, account planning, cross-selling, and up-selling.

Lead the company’s Physical AI research and engineering function as a hands-on technical leader. Define research priorities, design and train Transformer-based models, establish rigorous offline and real-world evaluations, integrate systems with physical robots, and analyze failures across data, models, hardware, and environments. Build a focused team, guide technical architecture and experiments, translate customer needs into requirements, and deliver measurable improvements through deployed models, benchmarks, evaluation systems, or data products.

Owns the planning, prioritization, deployment, adoption, support, and continuous improvement of AI-enabled tools and digital solutions for Assurance professionals. Translates user needs and technology capabilities into product requirements and priorities, coordinates stakeholders, monitors releases and usage, supports AI education, and evaluates emerging technologies for business value, risk, and practicality.

Leads complex AI and data strategy consulting engagements from vision through value realization. Oversees multi-stream programs, advises C-level stakeholders, ensures delivery quality and ROI, grows strategic accounts through upselling and cross-selling, and mentors Engagement Managers. Translates AI/ML and data platform concepts into business value while supporting client relationships, business development, and strategic problem-solving.

Leads consultative sales and customer engagement for AI Workforce solutions, including Microsoft 365 Copilot and Copilot Studio. Develops customer strategies, identifies and closes new opportunities, orchestrates internal teams and partners, and supports cross-selling and upselling. Builds stakeholder relationships, presents differentiated solution value, assesses business and technology priorities, and plans account pursuits across territories.

Build unstructured-data ingestion and context-layer pipelines for an investment group. Responsibilities include historical backfills, document parsing, entity resolution, deduplication, incremental API synchronization, embeddings, vector and graph storage, access scoping, lineage, PII protection, orchestration, monitoring, cost control, and operational runbooks.

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.

The GenAI Engineer will develop AI Agents for Board's platform, focusing on architecture design, prompt engineering, and performance evaluation.

Build Solidgate’s new ML/AI function, developing production machine learning models, recommendation systems, and real-time transaction-routing decision systems. Own experimentation from ideation through A/B testing and deployment, engineer features from high-cardinality transactional data, integrate emerging AI technologies, and collaborate with Product, Engineering, and Data Platform teams on training and analytics pipelines.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

Build cloud security training labs and technical content using YAML, Markdown, Bash, and Python. Support training-platform troubleshooting, deliver technical demos and workshops, write courseware, and apply instructional design principles. Use AI coding agents to accelerate lab and script development while validating outputs. Collaborate with senior instructors and cross-functional teams while developing technical depth, teaching ability, and presentation confidence.

Own the AI cost visibility product end to end, developing Go backend services, APIs, data processing, and TypeScript/React interfaces. Translate AI spending data into clear FinOps experiences, work closely with customers and product needs, and use AI throughout the engineering workflow. Lead feature design, implementation, release, monitoring, and iteration while setting engineering standards, mentoring peers, and building scalable cloud-based SaaS capabilities.

Own the AI cost visibility product end-to-end, building Go backend services, APIs, and TypeScript/React interfaces. Translate cloud AI spend and usage data into clear FinOps experiences, while driving architecture, reliability, monitoring, and iteration. Collaborate closely with customers and product stakeholders, use AI throughout the engineering workflow, mentor peers, and shape product direction in an ambiguous market.

Own AI cost visibility features end-to-end, from customer problem discovery and system design through implementation, release, monitoring, and iteration. Build scalable Go backend services, APIs, and TypeScript/React interfaces that process and present cloud AI spend data. Apply AI throughout the engineering workflow, contribute to product direction, understand FinOps and AI economics, mentor peers, and uphold reliable engineering practices.