Job ID: 744000154048740 Senior AI Engineer (m/f/d)A Coruña, Bilbao, Gijón, Granada, Madrid, Reus, Seville, Valencia Professional Regular T-Systems Iberia Your Task This role involves designing, developing, and leading the implementation of advanced Artificial Intelligence and Machine Learning solutions for production environments, ensuring their scalability, reliability, and maintainability. You will define, implement, and evolve MLOps platforms and pipelines that automate the entire lifecycle of models. Responsibilities Design, develop and lead the implementation of advanced Artificial Intelligence and Machine Learning solutions for production environments, ensuring their scalability, reliability and maintainability. Define, implement and evolve MLOps platforms and pipelines that automate the entire lifecycle of models: training, validation, versioning, deployment, monitoring and governance. Collaborate closely with Data Science teams to industrialize models, transforming prototypes and notebooks into high-performance productive services. Design and develop APIs, microservices and architectures aimed at integrating AI models and LLMs with business applications and business processes. Lead the adoption of good software engineering practices, including automated testing, code review, technical documentation, observability, and modular design. Design and implement CI/CD processes for AI applications and models, promoting automation and continuous delivery. Define and implement model monitoring strategies, including performance metrics, drift detection, data quality, explicability and alerting. Integrate AI solutions with data platforms, cloud architectures and business ecosystems, ensuring high standards of security, performance and resilience. Participate in the design of reference architectures for AI solutions,



establishing technical standards, development patterns and best practices within the organization. Act as a technical reference, providing mentoring to junior profiles and collaborating in technological decision-making and the evolution of the AI platform. Work in multidisciplinary teams under agile methodologies, collaborating with business, engineering, architecture and operations areas to maximize the impact of AI solutions.

Your Profile
We are seeking a highly experienced AI/ML Engineer with extensive expertise in designing, developing, and industrializing advanced Artificial Intelligence and Machine Learning solutions. The adecuado candidate should have strong software engineering skills, deep knowledge of MLOps platforms, cloud architectures, and the ability to lead technical decisions while mentoring other engineers. Must Have Skills More than 5 years of experience designing, developing and industrializing Artificial Intelligence, Machine Learning or Generative AI solutions in business environments Strong experience in software engineering, applying principles of design, architecture, automated testing, code review, documentation and good development practices Mastery of Python and the AI/ML ecosystem Experience with frameworks such as Py Torch, Tensor Flow, scikit-learn,



and Hugging Face Transformers Experience with libraries for Generative AIDemonstrable experience in designing and implementing MLOps platforms and pipelines that cover the full lifecycle of AI models and applications Advanced knowledge of version control with Git Advanced knowledge of integration and continuous deployment (CI/CD) processes Experience in containerization and orchestration of applications using Docker and Kubernetes Experience developing and deploying AI services using REST APIs Experience with microservices architecture Experience with batch processing Experience with event-oriented architectures Experience in cloud architectures on Azure, AWS or Google Cloud Platform, taking advantage of native services for AI, data and deployment Knowledge in integrating AI solutions with data platforms, distributed architectures and business ecosystems Experience collaborating with multidisciplinary teams Ability to lead technical decisions Ability to mentor other engineers Ability to communicate complex solutions to different profiles Nice to Have Skills Experience in Generative AI, including the development of applications based on LLMs Experience with RAG (Retrieval-Augmented Generation)Experience with intelligent agents and orchestration using frameworks such as Lang Chain, Llama Index or Semantic Kernel Experience working with AI platforms and MLOps such as Azure AI Foundry, Azure Machine Learning, MLFlow, Kubeflow, Vertex AI, Amazon Sage Maker or equivalent platforms Knowledge of monitoring, observability and evaluation of AI applications, including performance metrics, quality, model drift, traceability and tools such as Prometheus, Grafana or Open Telemetry Experience with Infrastructure as Code (Terraform, Bicep, ARM, Cloud Formation or similar)Experience with automation of cloud environments Knowledge of modern data

📌 Senior ai engineer (Madrid)
🏢 Telekom
📍 Madrid