Top Artificial Intelligence Jobs in Spain

Lead EMEA customers in deploying and optimizing large-scale AI inference on multi-node GPU clusters. Architect dense and Mixture-of-Experts inference pipelines, improve quantization, speculative decoding, prefill/decode disaggregation, KV cache management, and workload scheduling. Collaborate with NVIDIA product teams and engage the developer community through workshops, hackathons, and reference architectures. Advise ML engineers, researchers, and systems architects on high-performance inference across thousands of GPUs.

Serve as the senior technical expert for EMEA AI organizations training and post-training large-scale foundation models. Advise customers on distributed training infrastructure, PyTorch, Megatron-LM, NeMo, reinforcement learning, GPU utilization, communication overlap, and memory management. Build strategic technical relationships, translate customer needs into NVIDIA product roadmap input, collaborate with research and product teams, and support hackathons, demonstrations, and technical conferences.

Serve as a technical bridge between NVIDIA’s generative AI platform and AI-native customers. Guide diffusion model training and deployment, optimize image and video generation pipelines across single- and multi-GPU environments, diagnose vision workload bottlenecks, and provide guidance on model architectures, inference efficiency, video tokenization, and multimodal systems. Translate customer feedback into product improvements and contribute technical demos, workshops, and reference implementations for the EMEA developer community.

Develop and optimize multimodal AI solutions for document intelligence, personalization, and image/video analysis. Build production-ready pipelines, guide customers on model training across modalities, optimize vision encoders and video processing for latency, and translate customer needs into NVIDIA product roadmaps. The role also involves technical relationship management, developer engagement through talks and hackathons, and creating demos and reference architectures.

Senior, group-level UX leadership role accountable for global English Language Learning product experiences. Lead a 15–20 person UX organisation, set design strategy and systems, drive user research and measurable customer outcomes, partner with Product/Engineering, scale design operations, and develop senior design leaders across multiple teams and regions.

Build and operate Typeform’s internal AI Operations capability for R&D. Identify and prioritize AI opportunities, discover workflows, design and deliver AI-native solutions, and manage their lifecycle after launch. Responsibilities include improving enterprise AI tools, coordinating access and governance, evaluating reliability and security, supporting automations and agents, measuring adoption and value, and partnering with Product, Engineering, IT, InfoSec, Finance, and other teams.

Drive enterprise AI adoption by creating playbooks, prompt guidance, certification processes, training, and governance practices. Support use-case discovery, risk assessment, piloting, and prioritization while tracking adoption and business value metrics. Lead stakeholder communications, community engagement, and change initiatives, ensuring privacy, security, transparency, and responsible AI controls are embedded in internal AI usage.

Join Celonis's 12-month Orbit graduate program as an Associate Applied AI Engineer (Value Engineer). Support DACH customer engagements, prototype ML and LLM-based AI solutions on the Celonis Process Intelligence Platform, quantify business value, present to executives, drive change management, and collaborate with product and engineering to scale reusable AI solutions.

Lead the development of AI-powered personalized learning solutions, including deep learning, NLP, information retrieval, LLM, and multimodal systems. Define scientific roadmaps, advise senior leadership, collaborate with product and engineering teams, mentor scientists and engineers, and establish machine learning architecture and deployment best practices from research through production.

Client-facing AI Analyst responsible for eliciting executive strategy, OKRs, investment policies, and operating processes; defining AI agent skills and evaluations; interpreting process-mining data; modeling ROI; prototyping LLM solutions; driving executive adoption; and documenting requirements, decisions, and runbooks. The role partners with executives, an AI Architect, and a Data Engineer to deliver an AI context layer and executive pilot.

Design, build, and scale production AI agents across EveryWatch. Own the agent roadmap, architecture, shared tools, memory, state, observability, evaluation, and cost controls. Harden WatchChat, develop RAG and tool-calling systems, establish measurable quality standards, and ship solutions directly in Python. Collaborate with sales, product, data, and engineering teams to identify high-impact use cases and take agent concepts from discovery through production.

Join Welo Data’s Canadian French contributor network for potential remote AI projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and details provided before each assignment.

Join Welo Data’s French AI Trainers Network as a flexible contributor supporting annotation, evaluation, and prompt creation projects. Contributors may label text, images, or audio; assess search results, advertisements, and chatbot responses; create prompts for large language models; and ensure cultural and linguistic accuracy. This is a talent community rather than an active opening, with project details and compensation provided when assignments become available.

Join Oliver Wyman's Finance & Risk practice in Madrid to lead workstreams on finance and risk strategy, credit transformations, capital and risk models, pricing, and AI-driven risk analytics. Manage small teams, engage clients in Spanish/Portuguese markets, and collaborate with OW Europe and Data & Analytics specialists to deliver regulatory, modelling and strategic solutions.

Build AI-powered security advisory tools, RAG pipelines, LLM workflows, and low-code self-service platforms. Automate information security risk processes across ServiceNow IRM, troubleshoot and monitor AI and automation tools, maintain data integrations, and translate security expertise into intelligent workflows. The role also supports users, improves AI accuracy, researches emerging AI applications, and collaborates with security, privacy, risk, compliance, and IT stakeholders.

Create finished AI-generated video scenes and sequences for short-form mobile dramas. Translate scripts into visual content, combine AI-generated images, video, and sound, and develop coherent visual storytelling. Work independently, follow creative direction and production standards, deliver complete creative projects, and help improve AI production workflows while collaborating with senior creative leads.

Build and maintain hands-on cloud security labs across containers, Kubernetes, Linux, and public cloud environments. Own training-platform automation and reliability, deliver technical training and workshops, create instructional content and documentation, and use AI coding tools to accelerate development. Partner with Product, Customer Success, and Marketing to align enablement with product value, incorporate feedback, improve standards, and mentor junior team members.

Serve as front-office Product Owner for global cash management: define product strategy, design technology-enabled solutions, gather client requirements, lead end-to-end delivery and approvals, manage KPIs and product pipeline, and coordinate go-to-market with origination and global stakeholders.

Lead Cohere's policy engagement on compute infrastructure, export controls, sovereign AI, and national AI competitiveness. Monitor and analyze relevant developments, develop policy positions, engage governments and cross-functional teams, represent Cohere in public discussions, and produce policy analysis and thought leadership to inform strategic business opportunities and public-private partnerships.

Identifies, designs, deploys, and sustains AI solutions within a Wind Engineering subsystem. Partners with engineering leaders to prioritize use cases, integrates AI into engineering workflows, ensures governance and cybersecurity compliance, drives adoption, and monitors solution performance and value. The role develops applications, agentic workflows, copilots, automation, predictive models, and knowledge systems while contributing reusable patterns and innovations to the broader AI community.

Leads the identification, design, deployment, integration, governance, adoption, and continuous improvement of AI solutions across a Wind Engineering subsystem. Partners with engineering and business leaders to prioritize AI use cases, build roadmaps, configure AI applications and agentic workflows, integrate solutions into engineering processes, validate outputs, ensure security and responsible AI compliance, educate teams, and monitor solution performance and business value.

Own product strategy and initiatives for Checkly’s DevTools SaaS focused on AI-native software reliability. Shape the company’s perspective on monitoring AI-generated code, agent workflows, and LLM-backed features; collaborate across Product Engineering, Sales, and Marketing; engage customers and developer communities; and build technical prototypes when useful. The role requires strong developer empathy, startup experience, software development background, and comfort working remotely in an async-first environment.

Develop production AI systems for 3D spatial processing, computer vision, floorplan extraction, point-cloud analysis, and wireless network optimization. Build Python-based models and pipelines, deploy scalable inference through AWS SageMaker and NVIDIA Triton, optimize models for low latency, and implement MLOps, data engineering, observability, and CI/CD workflows. Collaborate with research, software engineering, and product teams to transition prototypes into market-ready products.

Designs, builds, deploys, and scales AI-powered productivity solutions across business functions. The role embeds with teams to identify automation opportunities, prototypes with LLMs and generative AI, delivers reliable production systems, and creates reusable AI frameworks. It also requires translating business needs into scalable solutions, coordinating global stakeholders, guiding adoption, and mentoring team members while addressing enterprise governance, security, and compliance.

Contribute to AI data projects through language data annotation, evaluation, and instruction creation. Work remotely with flexible hours to help develop more inclusive and capable AI systems. Applicants must be native or near-native Simplified Chinese speakers living in China, Canada, the United States, or Malaysia, with fluent English, comfort using digital tools, strong attention to detail, and curiosity.