Top Artificial Intelligence Jobs in Barcelona

Administer and optimize sales and marketing technology, including Salesforce, Gong, Clay, and Nooks. Build workflows, lead scoring, routing, enrichment, segmentation, sequencing, reporting, and AI-driven processes to improve prospecting productivity and pipeline conversion. Partner with Sales, SDR, and Marketing leadership on data quality, tool adoption, troubleshooting, training, onboarding, and scalable operational improvements.

Design and implement enterprise AI and Agentic AI architectures that are scalable, secure, reliable, governable, and maintainable. Translate business and technical requirements into architectures spanning AI agents, foundation models, data platforms, APIs, orchestration, observability, security, and cloud infrastructure. Integrate AI solutions with enterprise systems, guide implementation and architecture reviews, evaluate emerging technologies, promote responsible and sustainable AI, and help transition experiments into production-grade solutions.

Build reliable datasets and production-grade SQL data models, applying data quality, testing, documentation, and version-control practices. Collaborate with analysts, product managers, and business stakeholders to automate workflows and deliver trusted data products. Use generative AI responsibly for coding, analysis, workflow automation, and data experiences while validating outputs. Contribute to data transformations and progressively develop ownership of small data products and AI-enabled analytics initiatives.

Design and deploy AI solutions, agent workflows, and integrations for Revenue and Go-To-Market teams. Collaborate with business experts to identify automation opportunities, build prototypes, and scale successful solutions with central AI infrastructure teams. Drive AI adoption, contribute to the roadmap, and ensure technology delivers measurable business outcomes across sales operations.

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.

Advise C-level life sciences and healthcare executives on AI and data strategies, lead large-scale digital transformations, develop client solutions, and guide implementation and scaling. Build new business opportunities, manage long-term client relationships and multimillion-dollar portfolios, lead cross-functional engagement teams, and ensure high-quality analytical deliverables. Contribute to practice development and organizational growth.

PhD-level research intern to investigate and prototype 3D computer vision methods (SLAM, VIO, localisation, reconstruction). Survey SOTA, design and benchmark algorithms under real-world conditions, convert ideas into prototypes, and report results to a distributed European team focused on deployable defence-grade spatial perception.

Embed with customers to prototype, build, and ship production-grade AI and agentic applications; advise on AI strategy and deployment; codify repeatable architectures and playbooks; implement LLMOps/MLOps practices (RAG, fine-tuning, semantic search, observability); mentor teams and feed product improvements.

Senior full-stack engineer building AI-powered digital products. Work across full-stack environments using TypeScript and React, leverage AI tools and LLMs, design agent-based integrations, collaborate cross-functionally, adapt to shifting priorities in fast-paced teams.

Build production AI agents and integrations for Customer Success, Sales, and Operations. Translate manual workflows into high-value automations, connect LLMs with internal databases and SaaS tools, implement human approval gates and guardrails, manage reliable asynchronous integrations, and evaluate agent accuracy, hallucinations, latency, and cost. The role requires strong Python or TypeScript skills, Claude expertise, agent tool design knowledge, SaaS API experience, and effective collaboration with nontechnical teams.

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.

Lead a company-wide transformation embedding AI and agentic workflows into Product and UX. Define the vision and roadmap, design and pilot AI-enabled product lifecycle practices, create scalable playbooks and governance, assess tools, coordinate cross-functional workstreams, measure adoption and impact, and align Product, UX, Engineering, and leadership. The role requires hands-on generative AI experience, strong product judgment, technical fluency, program execution, stakeholder management, and the ability to influence teams through ambiguity.

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.

Develop automation and AI solutions supporting pharmaceutical clinical trials. Interpret requirements, identify workflow improvements, build proof-of-concept tools using R, Shiny, and LLM-supported coding, and mature successful prototypes into validated, documented, reusable solutions. Collaborate with statisticians, programmers, data scientists, and AI leads while ensuring testing, traceability, audit trails, version control, and compliance with regulated clinical development expectations.

The Growth Automation Manager will build and scale Tendios' outbound automation system, focusing on creating a signal-driven opportunity activation engine for public procurement, managing outreach tools, and utilizing AI for personalization. Responsibilities include designing workflows, optimizing messaging, and measuring performance based on generated pipeline and revenue outcomes.

You will design, build, and maintain agentic architectures and multi-agent systems for AI products in the pharmaceutical domain, focusing on compliance and scalability.

Serve as the bridge between engineering and business to deliver AI products from PoC to production. Translate business needs into product requirements, manage planning and prioritization, challenge technical decisions for scalability, mitigate risks and dependencies, and maintain stakeholder alignment and delivery cadence across cross-functional teams.

The AI Specialist responds to customer inquiries, troubleshoots tech issues related to AI, and collaborates with teams for client satisfaction.

Design, prototype, and deploy state-of-the-art multimodal neural search and ranking deep learning models for personalized learning; collaborate with product and engineering, mentor junior scientists, and establish ML best practices and production pipelines.

Lead development and deployment of deep learning, NLP, and multimodal AI models for personalized learning and AI tutors. Drive research, prototype solutions, collaborate with product and engineering teams, and mentor junior scientists while ensuring scalable production pipelines and ML best practices.

Design and evolve an enterprise-scale, model-agnostic Agentic AI platform: agent runtime, orchestration, context/memory, evaluation, guardrails, observability, governance, and integrations. Define golden paths, build an Agent Harness and runtime supporting multiple LLM providers, collaborate on Kubernetes/GPU/cloud infra, and drive developer standards and enterprise adoption.

This role involves designing, developing, and deploying AI and automation solutions, ensuring integration with enterprise systems, and meeting security standards. The position requires hands-on engineering skills in AI development, particularly with Python and AI frameworks.