Senior AI Engineer (m/f/d)

Telekom; La Coruña; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Coursera trainings & language classes

Wellness program

Flexible compensation plan

Job summary

T-Systems Iberia is seeking an experienced Senior AI Engineer to design, develop and industrialize AI/ML solutions for production environments. You will define MLOps platforms, automate model lifecycles, and lead collaboration with data science teams to deliver scalable services.

You will mentor engineers, promote best software practices, and implement CI/CD for AI apps across cloud architectures (Azure/AWS/GCP). Hybrid work model with strong security and governance focus.

Qualifications

• 5+ years designing and industrializing AI/ML solutions in business environments.
• Strong software engineering practices: testing, code review, docs, observability.
• Hands-on with Python and AI/ML ecosystem; experience with PyTorch or TensorFlow.

Responsibilities

• Design, develop and lead AI/ML solutions for production environments.
• Define and evolve MLOps platforms covering training, validation, deployment and monitoring.
• Collaborate with Data Science teams to industrialize models into high-performance services.
• Develop APIs and microservices to integrate AI into business processes.
• Lead CI/CD for AI applications and ensure governance and security.

Skills

AI/ML engineering

Python

MLOps

Cloud architectures

CI/CD

Docker

Kubernetes

REST APIs

Git

Mentoring

Tools

PyTorch

TensorFlow

scikit-learn

Hugging Face Transformers

LangChain / LlamaIndex

Kubeflow

MLFlow

Job description

Job ID: 744000154048740Senior AI Engineer (m/f/d)A Coruña, Bilbao, Gijón, Granada, Madrid, Reus, Seville, ValenciaProfessionalRegularT-Systems IberiaYour TaskThis 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.ResponsibilitiesDesign, 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 ProfileWe are seeking a highly experienced AI/ML Engineer with extensive expertise in designing, developing, and industrializing advanced Artificial Intelligence and Machine Learning solutions. The ideal 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 SkillsMore than 5 years of experience designing, developing and industrializing Artificial Intelligence, Machine Learning or Generative AI solutions in business environmentsStrong experience in software engineering, applying principles of design, architecture, automated testing, code review, documentation and good development practicesMastery of Python and the AI/ML ecosystemExperience with frameworks such as PyTorch, TensorFlow, scikit-learn, and Hugging Face TransformersExperience with libraries for Generative AIDemonstrable experience in designing and implementing MLOps platforms and pipelines that cover the full lifecycle of AI models and applicationsAdvanced knowledge of version control with GitAdvanced knowledge of integration and continuous deployment (CI/CD) processesExperience in containerization and orchestration of applications using Docker and KubernetesExperience developing and deploying AI services using REST APIsExperience with microservices architectureExperience with batch processingExperience with event-oriented architecturesExperience in cloud architectures on Azure, AWS or Google Cloud Platform, taking advantage of native services for AI, data and deploymentKnowledge in integrating AI solutions with data platforms, distributed architectures and business ecosystemsExperience collaborating with multidisciplinary teamsAbility to lead technical decisionsAbility to mentor other engineersAbility to communicate complex solutions to different profilesNice to Have SkillsExperience in Generative AI, including the development of applications based on LLMsExperience with RAG (Retrieval-Augmented Generation)Experience with intelligent agents and orchestration using frameworks such as LangChain, LlamaIndex or Semantic KernelExperience working with AI platforms and MLOps such as Azure AI Foundry, Azure Machine Learning, MLFlow, Kubeflow, Vertex AI, Amazon SageMaker or equivalent platformsKnowledge of monitoring, observability and evaluation of AI applications, including performance metrics, quality, model drift, traceability and tools such as Prometheus, Grafana or OpenTelemetryExperience with Infrastructure as Code (Terraform, Bicep, ARM, CloudFormation or similar)Experience with automation of cloud environmentsKnowledge of modern data architecturesKnowledge of distributed processingExperience with tools such as Spark, Databricks or equivalent platformsExperience defining reference architectures, technical standards and good practices for AI solutions in productionKnowledge of aspects related to AI governanceKnowledge of security, privacy, responsible AI and regulatory complianceRelevant certifications in cloud or AI technologies, such as Microsoft Azure AI Engineer, Azure AI Foundry, AWS Machine Learning Specialty, Google Professional Machine Learning Engineer or equivalentAbout UsT-Systems is part of the Deutsche Telekom group, with around 30,000 employees worldwide. We create purposeful technology to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges and provide ideas that transform the experience of our clients.We trust people: we offer autonomy, continuous support and a collaborative environment where we can grow without limits. We are one global team, guided by respect, integrity and a passion to do better every day.BenefitsEnvironment and FlexibilityInternational, dynamic and collaborative environmentT-Social: social initiatives (sports, community, health)Hybrid work model (teleworking/face-to-face)Flexible schedule4 weeks of teleworking per yearProfessional DevelopmentTailor-made training: access to Coursera so you can learn what you want, when you wantWeekly language classes (English, Spanish and German)Global Mentoring Sessions and Experience DaysCompensation and BenefitsFlexible compensation plan (health insurance, restaurant tickets, day care, transportation)TelemedicineLife and accident insuranceSocial fundWellness and LeisureMore than 26 working days of vacation per yearFree access to specialists (health, wellness and legal advice)100% of the salary in case of medical leaveApplication InformationIf you are looking for a new challenge, do not hesitate to send us your CV. Join our team!T-Systems Iberia will only process the CVs of applications that meet the requirements specified for each offer.Job BenefitsWork-Life BalanceHybrid work model (teleworking/face-to-face)Flexible schedule4 weeks of teleworking per yearMore than 26 working days of vacation per yearProfessional DevelopmentTailor-made training: access to CourseraWeekly language classes (English, Spanish and German)Global Mentoring Sessions and Experience DaysFinancialFlexible compensation plan (health insurance, restaurant tickets, day care, transportation)Social fundHealth & InsuranceHealth insurance (via flexible compensation plan)TelemedicineLife and accident insurance100% of the salary in case of medical leaveLifestyle & WellnessT-Social: social initiatives (sports, community, health,...)Free access to specialists (health, wellness and legal advice)Office PerksRestaurant tickets (via flexible compensation plan)Day care (via flexible compensation plan)Transportation (via flexible compensation plan)