AI Senior Engineer

responsibilities around our artificial intelligence services will be focused on the following fields of action: - Design, build, and deploy machine learning and GenAI solutions, including RAG architectures, autonomous agents, and evaluation pipelines. - Lead the development of AI-based products and services, ensuring scalability, robustness, and maintainability. - Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions. - Develop and maintain reusable AI components and best practices for GenAI systems. - Integrate models into production environments using cloud platforms such as Azure, AWS, or Google Cloud. - Stay current with advancements in AI and proactively propose innovations. - Contribute to code reviews, documentation, and mentoring junior team members. Why would we want to meet you? We want to meet you if: - Solid understanding of AI foundations, including both classical machine learning

and generative AI. - Proven experience building GenAI solutions, such as retrieval-augmented generation (RAG), autonomous agents, and evaluation frameworks. - Proficient in Python and popular AI libraries (e.g., PyTorch, TensorFlow, LangChain, HuggingFace). - Hands-on experience working with cloud platforms (Azure, AWS, or GCP) and deploying AI services in production. - Strong software engineering practices (version control, CI/CD, testing, containerization). - Must be located in or willing to relocate to Spain. We will positively value: - Master’s degree in Computer Science, Engineering, Data Science, or related field. - Experience with MLOps tools and practices. - Experience in Agile/Scrum environments and collaborating with remote teams. - Excellent command of English (C1-C2 level). - Background in consulting or client-facing AI delivery projects. What do we offer? We propose: - To work on projects for leading companies in Spanish and

European market. - To be involved in high priority projects with visibility to senior leadership - To apply the latest technical innovations in artificial intelligence platforms in AWS. - To attend and give conferences. - To join the team of a consolidated multinational such as NTT Data, which shares with you its professional interests and enjoys applying artificial intelligence in large companies and public agencies. - A competitive salary according to provided experience. - A career path that ensures your professional development and continuous improvement (language courses, management and professional skill training, technical training and certifications). If you are interested or would like to have more information, please apply via this advertisement. <

ideation to deployment and evaluation. We are looking for a professional who brings his knowledge and experience in artificial intelligence focused on: - Defining and implementing technical solutions related to AI Platform framework/methodology. - Building AI Platforms aligned with the logical version defined in high-level architecture designs. Being a cloud-native, hybrid or on-premises environment. - Building CI/CD pipelines to orchestrate the MLOps life cycle aligned with client objectives and architecture requisites. - Contribute to the standardization of methodologies for development, training, deploying, inference and monitor of AI use cases. - Facing challenges related to MLOps practices, provide resources and tools for Data Scientist, give them flexibility for model development and robust methodology to allow its productivization, train models in an unattended way, monitorize the model performance and generate retrain alarms. What will you be accountable for? Your