Top Artificial Intelligence Jobs in Barcelona

Lead AI strategy and adoption initiatives by aligning technical teams, business stakeholders, and senior leadership. Translate business needs into actionable requirements, manage complex delivery risks and dependencies, communicate technical trade-offs, and support AI solutions from proof of concept through production. Drive change management, stakeholder alignment, adoption, and long-term business value across ambiguous, cross-functional environments.

Own the full customer lifecycle for Spanish SMB clients, driving adoption, satisfaction, retention, and expansion. Build relationships, identify value opportunities, configure AI assistants, implement moderately complex workflows, troubleshoot setup issues using API documentation and error logs, and coordinate advanced implementations with developers. Conduct proactive customer check-ins, identify churn risks, manage activity in HubSpot, and autonomously test initiatives using data-driven workflows.

Leads implementation and adoption of Data and AI policies, standards, and controls. Develops practical guidance, maintains audit-ready evidence, executes control testing and monitoring, analyzes gaps, tracks remediation, and prepares governance reporting. Coordinates Legal, Compliance, Privacy, Cybersecurity, Risk, Data, and AI stakeholders while facilitating workstreams, training, communications, and escalation of material risks across global teams.

Leads enterprise Data and AI governance adoption by translating policies, standards, and controls into practical guidance, monitoring, testing, evidence, reporting, and training. Manages cross-functional implementation workstreams, maintains audit-ready traceability, identifies control gaps, tracks remediation, facilitates stakeholder decisions, and escalates material risks. The role requires strong knowledge of Data and AI regulatory requirements, governance, assurance, compliance, and responsible AI practices.

Own complex, ambiguous product design problems across the UX Platform from framing through execution. Design coherent AI-native experiences, evolve AI-assisted design workflows, establish documentation and design standards, and strengthen the connection between product design and the design system. Partner with Product and Engineering, deputize for the Design Director, influence strategy, mentor designers, and raise the organization’s craft and quality bar.

Lead Pigment’s full enterprise sales cycle across Iberia, from prospecting through deal closure. Build C-suite relationships, develop strategic business plans, consult on business transformation use cases, negotiate agreements, maintain Salesforce records, and collaborate with customer success and technical teams. The role requires strong B2B SaaS or finance-product sales experience, enterprise market development skills, English and Spanish fluency, and a proven record of revenue generation.

Defines enterprise AI solution architecture across generative AI, predictive analytics, NLP, and computer vision. Develops scalable architecture blueprints, reference patterns, and implementation roadmaps; leads design governance for data pipelines, model integration, APIs, orchestration, deployment, and observability. Partners with product, engineering, data, and business stakeholders, while guiding AI/ML engineering, MLOps, model lifecycle management, responsible AI, security, and platform scalability.

Optimize LLM inference on modern GPUs by analyzing GPU architecture, memory access, kernel performance, and system bottlenecks. Develop, debug, and reverse-engineer CUDA kernels; improve matrix multiplication, attention, latency, throughput, and utilization; and benchmark inference frameworks such as vLLM, SGLang, TensorRT-LLM, Triton, and FlashAttention. The role also involves investigating complex performance issues and communicating technical concepts in English.

Design, deploy, and maintain scalable AI/ML systems and MLOps, LLMOps, and AgentOps pipelines. Build batch and real-time infrastructure, conduct large-scale testing, monitor models, and integrate AI solutions into business applications. Collaborate with scientists, engineers, and product teams using Python, Azure, MLflow, and Databricks.

Lead the design and delivery of production conversational AI systems, including multi-turn agents, LLM reasoning loops, and multi-agent orchestration. Build and benchmark end-to-end solutions using Python, Azure, MLflow, and Databricks. Drive AI initiatives, mentor junior scientists, lead cross-functional teams, collaborate with customers, and advance best practices in generative and agentic AI for complex enterprise domains.

Develop and maintain enterprise cybersecurity strategy, roadmaps, target-state architectures, and security standards. Advise executives and technical teams on cloud, data, AI, application, infrastructure, identity, privacy, and regulatory security. Lead secure AI strategy and governance, assess emerging threats and technologies, guide cybersecurity investments, and support transformation, modernization, and acquisition initiatives.

Summer intern supporting computer vision and multimodal AI research for medical imaging and video. Responsibilities include interviewing clinical stakeholders, identifying business value, developing and evaluating computer vision models, extracting insights from reports, and communicating technical findings. Work covers modalities including endoscopy, ultrasound, X-rays, dermatology images, retinal OCT, and histopathology.

Leads engineering strategy, organization, execution, and technical excellence across international teams. Partners with executive, product, data, and technology leaders to scale architecture, infrastructure, reliability, security, delivery practices, and engineering leadership. Builds and retains high-performing teams, improves velocity and predictability, connects technical investment to business outcomes, and prepares engineering for increased data, automation, and AI adoption.

Build and deploy AI-agent and scripting automations that eliminate repetitive work across R&D teams. Identify and prioritize high-value bottlenecks, collaborate with engineering managers, create reliable and maintainable solutions, and hand them over to teams for ongoing ownership. Establish automation standards and potentially grow a small AI adoption team.

Build and operate full-stack software for clinical trial products, including backend services, APIs, data pipelines, React applications, and production AI/LLM features. Establish AI-assisted development standards, prompt engineering patterns, evaluation frameworks, and code quality gates. Support observability, reliability, CI/CD, infrastructure collaboration, secure regulated development, testing, code reviews, and mentoring.

Develop and operate full-stack software for clinical-trial products, building backend services, APIs, streaming pipelines, and React applications. Integrate production AI and LLM capabilities, establish prompt engineering and evaluation practices, and improve reliability, observability, CI/CD, security, and compliance. The role includes troubleshooting, code reviews, mentoring, and shaping AI-assisted engineering standards in a regulated environment.

Build and maintain AI-powered insights platforms, including data pipelines, LLM and machine learning workflows, full-stack applications, APIs, monitoring, and cloud infrastructure. The role involves Python, Databricks, AWS, React, Terraform, Docker, and CI/CD. Engineers collaborate with product, data science, and business stakeholders, contribute to architecture decisions, write tested code, and deliver AI-generated recommendations to global business users.

Develop and validate trustworthy clinical AI and decision-support systems, incorporating clinical reasoning, safety evaluation, evidence-based medicine, and expert testing. Partner with product, engineering, editorial, business development, customers, and strategic partners on clinical implementations and outcomes studies. Represent the organization through clinical presentations, publications, thought leadership, and customer engagements. Optional clinical practice may comprise up to 20% of the role.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Owns end-to-end product and operational analytics for AI-powered and conventional automation features. Responsibilities include experiment design, funnel and adoption analysis, AI output evaluation, hallucination and failure investigation, monitoring, dashboards, and measuring business impact. The role partners with Product, Engineering, Clinical, MedOps, and Legal, using SQL and Python to analyze messy production data and translate findings into decisions.

Create short films and videos using AI photo and video generation tools. Edit AI-generated content, develop concepts with marketing teams, maintain brand alignment, experiment with creative formats, and deliver engaging content for Tether and affiliated brands. The role requires video production and editing expertise, strong storytelling and visual composition skills, familiarity with digital marketing and social media, and the ability to manage multiple projects independently under tight deadlines.

Build and operate production AI services, including multi-agent systems, LLM pipelines, MCP servers, RAG and document-ingestion workflows. Develop reliable Python backend services, evaluate model quality, manage deployments, observability, authentication and privacy safeguards. Collaborate with engineering and product teams while supporting AI governance, risk documentation and ISO evidence. The role focuses on practical business automation across document processing, customer support, CRM and account operations.

Owns full-cycle recruiting for commercial, operational, and technical roles across global markets. Responsibilities include sourcing passive candidates, building pipelines for hard-to-fill positions, advising hiring leaders, coordinating interviews and offers, maintaining accurate Greenhouse data, and improving hiring processes through systems thinking, data, AI, and automation.

Lead strategy and execution for early-stage generative and agentic AI products supporting clinical trial workflows. Define product vision, roadmaps, requirements, priorities, KPIs, and experimentation plans. Partner with clinical, operational, AI, and engineering stakeholders to identify use cases, accelerate adoption, and scale successful initiatives. Evaluate investments, guide rapid prototypes, and drive measurable improvements in trial speed, quality, and cost efficiency.

Build and ship user-facing AI agent features for Android within Qonto’s regulated banking app. Own the Android experience end to end, designing clean, testable, performant Kotlin code and delivering features from scoping through release. Collaborate with Product, iOS, Backend, and Frontend teams to bring web capabilities to mobile, while using AI coding tools extensively and helping establish scalable foundations for other teams’ AI agents.