Top Artificial Intelligence Jobs in Valencia

The VP Field Marketing is responsible for leading marketing strategy and execution in Europe, focusing on demand generation, brand awareness, and pipeline development while collaborating cross-functionally and driving a data-driven culture.

Lead business development in Life Sciences, drive client acquisition, and develop AI & Data strategies. Mentor teams and foster collaborations across departments.

As a Principal Solutions Architect, you will guide customers in using GitLab's AI-powered platform, driving technical strategy and engagement across the software lifecycle while collaborating with multiple teams to enhance adoption and success.

Lead strategy, production, and commercial performance for owned casino games. Own roadmap, vendor management, end-to-end production, RTP/volatility strategy, live operations, and post-launch performance.

Manage access to Omnipod products across territories, develop payer relationships, and contribute to market access strategies while analyzing data and utilizing health economic tools.

The Associate Legal Officer will support legal operations at UNICC, focusing on public international law, technology law, and legal risk management through research, drafting legal documents, and advising on ICT-related legal issues.

The Product Manager will own the CRM & Retention module of a casino platform, focusing on player lifecycle management, AI-driven automation, and performance metrics to drive commercial success.

As a Threat Analyst II, you will analyze adversary intrusions, create ML-based security detections, and address customer requests regarding detection efficacy, focusing on proactive and reactive detection engineering.

The VP Analyst leads Gartner's AI strategy, creating insights, conducting analysis, advising clients, and mentoring team members. They engage with clients to address market trends and challenges.

Lead end-to-end delivery of iGaming features, coordinating Product, Development, QA, and Marketing. Manage timelines, resources, risks, third-party integrations, stakeholder communication, and continuous improvement through post-mortems to ensure timely, high-quality releases.

As a Lead Full Stack Engineer, you will drive the technical strategy and development of our SaaS insurance platform while mentoring engineers and overseeing AI integration.

The Principal Manager, Applied AI leads AI-native transformation, optimizing corporate functions, managing R&D outputs, and ensuring effective alignment with strategic business goals. Responsibilities include overseeing the integration of AI into workflows, managing the innovation backlog, and driving change leadership for AI adoption across functions.

Lead design, development, and deployment of AI solutions; evaluate feasibility; build data pipelines; optimize model performance; mentor junior engineers.

As a Customer AI Analyst, you will optimize customer accounts for AI performance, design prompts for LLMs, deliver insights, and collaborate with teams to enhance service delivery and customer engagement.

As a Customer AI Strategist, you will guide enterprise marketers in Europe through AI Marketing strategies, ensuring measurable results and driving business transformations while managing key client relationships and collaborating with internal teams.

As a Senior Platform Engineer, you'll design multi-cloud architectures, automate deployments with IaC, manage AI services, and translate business needs into technical solutions.

The AI Engineer will optimize AI models, design scalable systems, and collaborate on enterprise AI applications, focusing on production systems and performance.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

The role involves leading AI infrastructure research, providing strategic guidance to clients, developing insights, and mentoring junior analysts while addressing complex AI-related challenges in enterprise computing.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

The Mid/Senior AI Cinematic Video Editor creates narrative-driven videos using AI tools, overseeing production from concept to final output while ensuring visual coherence and storytelling.

The Senior Fullstack .NET Engineer will design and develop end-to-end software solutions using .NET and Azure, leveraging AI tools for efficiency, mentoring engineers, and maintaining project quality.