Top Artificial Intelligence Jobs in Spain

Design, build, and deploy production-grade agentic AI systems: multi-agent orchestration, RAG pipelines, provider integration, LLMOps, observability, and reusable patterns. Embed with client teams, lead design sessions, tune embeddings/vector search, manage cost/latency tradeoffs, and define metrics for accuracy, safety, latency, and cost.

Supports development of AI-powered data product features using Python, APIs, and LLM integrations. Builds backend services with FastAPI or Flask, connects advertising platforms, deploys services to Google Cloud Run, participates in CI/CD, monitors performance, and troubleshoots issues. Collaborates with senior engineers, product managers, designers, and data scientists while contributing to code reviews, documentation, testing, and production feature delivery.

Leads cybersecurity and technology risk for Santander’s Data & AI division. Advises executives on cyber risk, resilience, security investments, and security posture; oversees governance, regulatory compliance, controls, reporting, audits, and remediation. Partners with Risk, Compliance, Legal, Audit, Privacy, Technology, and business stakeholders. Ensures security-by-design, critical data protection, threat mitigation, and secure, responsible deployment of AI capabilities in alignment with group strategy and regulatory expectations.

Lead research and production development of LLMs and transformer models for machine translation and language quality. Design evaluation frameworks, agentic NLP workflows, training pipelines, and model-provider strategies. Own flagship model programs from data curation through production integration, mentor researchers, review technical work, and collaborate with Product and Engineering to ship capabilities. The role requires deep NLP and LLM expertise, rigorous experimentation, strong Python and ML library skills, and technical leadership.

Own new and existing automation machine solutions across Europe. Responsibilities include feasibility studies, solution specification, development project management, lifecycle ownership, documentation, manufacturing supervision, installation, integration, maintenance, troubleshooting, and customer support. The role requires field deployment experience, analytical problem-solving, agile execution, strong communication, and up to 80% travel in Northern Europe.

Leads hands-on engineering for AI-enabled operational risk platforms using .NET, Python, AWS, microservices, APIs, and agentic AI. Designs scalable architectures, writes production code, mentors engineers, establishes CI/CD and GitOps practices, and improves testing, observability, reliability, security, and compliance. Partners with product, data science, and platform teams to evolve MVP solutions into enterprise-grade systems while integrating event streams and producer-led data products.

Lead end-to-end process improvement for HR and payroll operations across Southern Europe by designing, standardising and automating transactional workflows. Develop AI and data-driven solutions (intelligent automation, decision support, process insights), collaborate with IT on development, manage rollouts, stakeholder change, and monitor Lean-based process standards while supporting near-shore/offshore teams.

Lead 0-to-1 product development for Kimchi’s AI coding and infrastructure products. Responsibilities include identifying high-value customer problems, conducting discovery, validating hypotheses, prioritizing opportunities, partnering with engineering and design, defining success metrics, driving adoption, and communicating product direction. The role requires strong judgment in ambiguous, rapidly changing technical markets and hands-on use of modern AI tools.

Provide technical support for a B2B SaaS platform by investigating customer issues, reproducing bugs, analyzing JavaScript, TypeScript, and Java code, coordinating resolutions with internal teams, and communicating clearly with customers. Maintain troubleshooting documentation, identify recurring issues, improve support processes, and own escalations through resolution.

Build production AI systems combining voice interfaces, browser agents, computer vision, and large language models. Responsibilities include developing speech-to-text and text-to-speech systems, browser automation, prompt and LLM workflows, multimodal pipelines, evaluation frameworks, real-time infrastructure, observability, and production performance improvements.

Leads enterprise technical change management for digital initiatives, technology implementations, automation, and AI-enabled capabilities. Partners with senior business and IT leaders to drive adoption, governance, risk oversight, operational excellence, stakeholder communication, and value realization. Develops scalable change frameworks, resolves complex escalations, improves processes, and builds a high-performing organization by coaching managers and supervisors.

Supports lifecycle CRM campaigns for riders across 21 countries, including audience setup, QA, scheduling, localization, launches, reporting, and A/B testing. Builds AI-powered workflows and lightweight automations for campaign production, localization, segmentation, reporting, and analysis. Collaborates with local teams, evaluates CRM performance, develops reusable automation playbooks, and identifies practical applications for emerging AI tools.

Design, build, evaluate, and deploy AI-powered software development workflows using Codex. Partner with enterprise engineering teams to move prototypes into reliable production systems, improve developer adoption, and measure engineering productivity gains. Lead technical workshops, diagnose implementation challenges, develop integrations and automations, and provide product and model feedback to OpenAI teams. Address reliability, security, observability, privacy, performance, cost, and operational readiness throughout deployments.

Own new business and ARR growth by managing B2B SaaS sales from qualified meeting through signature and handover. Lead complex, multi-threaded deal cycles with senior legal, business, IT, and procurement stakeholders. Conduct discovery, coordinate pilots and proofs of concept with Solutions Engineering, manage targets and forecasts, partner with BDRs, and provide cross-functional market feedback. Contribute to sales playbooks, process improvements, and go-to-market strategy.

Lead design, development and productionisation of GenAI, LLM, NLP and agentic AI solutions for SMSF and Wealth. Build RAG and agentic workflows, evaluation and safety testing, MLOps pipelines, model governance, monitoring and explainability. Mentor squad, influence AI strategy and partner with stakeholders to deliver customer-centric AI at scale.

Leads the global strategy, governance, investment, and value realization of commercial data, AI, reporting, and digital decision platforms within a regulated pharmaceutical environment. Oversees data products, architecture, responsible AI, reporting modernization, data quality, enterprise delivery, talent, vendors, budgets, and cross-functional alignment. Partners with commercial, technology, finance, analytics, operations, and brand teams to scale trusted data and AI solutions that improve decision-making, productivity, adoption, and commercial outcomes.

Own the end-to-end improvement loop for Elastic’s Context Engine, including agent behavior, evaluations, telemetry, safe rollouts, and production quality. Build backend services and AI-driven products using TypeScript or Python, design experiments and observability for agent traces and retrieval, and partner with data scientists, engineers, product, and UX. Mentor engineers, review technical work, and shape the roadmap for agentic systems, APIs, memory, and knowledge representation.

Defines enterprise MLOps, DevOps, cloud, and hybrid AI architecture for Wind Engineering. Establishes production-grade CI/CD and continuous training pipelines, model lifecycle standards, observability, reliability, drift management, security, governance, and auditability practices. Reviews AI designs for scalability and supportability, leads technical transitions into sustainable GE Vernova ownership, resolves escalations, and mentors architects and engineering teams.

The Technical Lead will design, build, and modernize IVR and Voice Bot platforms, providing technical ownership and leadership in a hands-on role within the Contact Center Technology department.

Lead AI engineering for pharmaceutical discovery by transforming research prototypes into secure, scalable production systems. Design reproducible machine-learning training and inference workflows across cloud and on-premises environments, establish engineering and MLOps standards, and optimize distributed training. Collaborate with researchers, scientists, and platform teams, guide architecture decisions, mentor engineers, and promote responsible, compliant AI practices.

Lead AI platform and product engineering for pharmaceutical discovery. Build secure, scalable, reproducible machine-learning systems across cloud and on-premises environments, optimize distributed training and inference, and apply CI/CD, DevOps, GitOps, and MLOps practices. Partner with researchers and platform teams, establish engineering standards, guide architecture, mentor engineers, and deliver production AI capabilities. The role also supports responsible AI, governance, security, and enterprise-scale LLM and generative AI solutions.

Lead Fever’s AI search innovation strategy by measuring brand visibility across LLMs and emerging AI platforms. Develop testing frameworks, integrate new data sources, optimize site architecture, schemas, and APIs for AI ingestion, and collaborate with Product, Engineering, Data, and PR teams to improve citations, generative presence, and brand authority.

Lead Fever’s AI search innovation strategy by testing how LLMs generate answers, measuring brand visibility and citations, and optimizing site architecture, schemas, and APIs for AI ingestion. Collaborate with Product, Engineering, Data, Marketing, PR, and community teams to strengthen brand authority across AI search platforms. Build analytical frameworks, evaluate emerging models and MCPs, and translate findings into actionable SEO, testing, reporting, and perception strategies.

Owns marketing strategy and execution for Libra’s launch and growth in Spain and France. Responsibilities include market positioning, messaging, go-to-market planning, self-service acquisition funnels, localized content and landing pages, SEO and conversion optimization, webinars, events, community initiatives, competitor analysis, and performance tracking. The role requires close collaboration with central and performance marketing teams while producing Spanish- and French-language campaigns for legal professionals.

Build, deploy, operate, and support AI and automation solutions for global Finance using Microsoft Power Platform, Copilot Studio, Python, RPA, and SAP integrations. Ensure deployments include testing, documentation, security controls, audit evidence, human review points, monitoring, and rollback procedures. Partner with finance analysts and process owners, train end users, resolve incidents, and improve production capabilities across accounts payable, receivable, general ledger, tax, treasury, reporting, and shared services.