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Overview
Job details
Full-time hours
Per the ad.
Hybrid
Office and home days — the ad has the split.
Requirements
Have the right to work in Spain
T-Systems Iberia doesn't mention sponsorship in the ad.
Be near Granada, Spain (Hybrid) for hybrid days
No relocation package mentioned.
Have 5+ years of experience
Senior-level role.
This job was automatically translated to English.
Pay & benefits
What you'll get
Environment and flexibility
• International, dynamic, and collaborative environment.
• T-Social: social initiatives (sports, community, health,...).
• Hybrid work model (remote/on-site).
• Flexible working hours.
• 4 weeks of remote work per year.
Professional development
• Tailored training: access to Coursera to learn what you want, when you want.
• Weekly language classes (English, Spanish, and German).
• Global Mentoring sessions and Experience Days.
Compensation and benefits
• Flexible compensation plan (health insurance, restaurant tickets, childcare, transportation).
• Telemedicine.
• Life and accident insurance.
• Social fund.
Well-being and time off
• More than 26 working days of vacation per year.
• Free access to specialists (health, well-being, and legal advice).
• 100% of salary covered in case of sick leave.
And many more advantages of being part of T-Systems!
If 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 position.
The role
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 complete model lifecycle: training, validation, versioning, deployment, monitoring, and governance.
- Collaborate closely with Data Science teams to industrialize models, transforming prototypes and notebooks into high-performance production services.
- Design and develop APIs, microservices, and architectures oriented toward the integration of AI models and LLMs with enterprise applications and business processes.
- Lead the adoption of software engineering best 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, explainability, and alerting.
- Integrate AI solutions with data platforms, cloud architectures, and enterprise 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 mentorship to junior profiles and collaborating on 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.
Requirements
- More than 5 years of experience designing, developing, and industrializing Artificial Intelligence, Machine Learning, or Generative AI solutions in enterprise environments.
- Solid experience in software engineering, applying design principles, architecture, automated testing, code review, documentation, and development best practices.
- Proficiency in Python and the AI/ML ecosystem, including frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, and Generative AI libraries.
- Demonstrable experience in the design and implementation of MLOps platforms and pipelines covering the complete lifecycle of AI models and applications.
- Advanced knowledge of version control with Git and continuous integration and deployment (CI/CD) processes.
- Experience in containerization and orchestration of applications using Docker and Kubernetes.
- Experience developing and deploying AI services via REST APIs, microservices, batch processing, and event-driven architectures.
- Experience in cloud architectures on Azure, AWS, or Google Cloud Platform, leveraging native services for AI, data, and deployment.
- Knowledge of integrating AI solutions with data platforms, distributed architectures, and enterprise ecosystems.
- Experience collaborating with multidisciplinary teams and the ability to lead technical decisions, mentor other engineers, and communicate complex solutions to different profiles.
The following will be especially valued
Experience in Generative AI, including the development of applications based on LLMs, RAG (Retrieval-Augmented Generation), intelligent agents, and orchestration using frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
Experience working with AI and MLOps platforms such as Azure AI Foundry, Azure Machine Learning, MLflow, Kubeflow, Vertex AI, Amazon SageMaker, 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 OpenTelemetry.
Experience with Infrastructure as Code (Terraform, Bicep, ARM, CloudFormation, or similar) and automation of cloud environments.
Knowledge of modern data architectures, distributed processing, and tools such as Spark, Databricks, or equivalent platforms.
Experience defining reference architectures, technical standards, and best practices for AI solutions in production.
Knowledge of aspects related to AI governance, security, privacy, responsible AI, and regulatory compliance.
Relevant 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 equivalents.
Hiring process
Apply online through the job portal; plan for six to eight weeks from application to acceptance
- Applications are accepted only through the online job portal.
- Status and next steps are visible in the applicant profile's applications overview.
- Group-level statement from T-Systems International, not specific to Iberia.
About T-Systems Iberia
T-Systems Iberia is the Spanish subsidiary of T-Systems, the digital services arm of Deutsche Telekom, one of the world's leading telecommunications and IT services providers. T-Systems offers a broad range of IT services including cloud computing, cybersecurity, AI, data analytics, and enterprise application management, serving large enterprises and public sector clients. With a global workforce of tens of thousands, T-Systems operates across multiple countries, and its Iberia branch is a key hub for software development, cloud architecture, and public sector digitalization projects.
In Spain, T-Systems Iberia has offices in Madrid and Barcelona, and it is a significant employer of IT professionals, particularly in areas like SAP, cloud architecture, AI, and public administration solutions. The company is known for its stable, corporate environment, offering opportunities for international professionals to work on large-scale projects for both Spanish and European clients. Many roles require English, and some require German, reflecting the company's cross-border operations. T-Systems Iberia is an attractive option for those seeking a well-established, multinational IT employer with a strong focus on innovation and public sector work.
- Industry
- IT Services
- Founded
- 2000
- Employees
- 30,000–50,000
- Headquarters
- Frankfurt, Germany
- In Spain
- Madrid, Barcelona
- Website
- t-systems.com
Good to know if you are moving
- T-Systems Iberia has offices in Madrid and Barcelona, offering opportunities in two of Spain's most dynamic tech hubs.
- The company is part of Deutsche Telekom, providing access to a large international network and potential career mobility across Europe.
- Many roles require or prefer German language skills, which can be an advantage for German-speaking professionals.
- T-Systems Iberia works extensively with the Spanish public sector, offering stable, long-term projects.
- The company supports relocation and offers a multicultural work environment with employees from various countries.
In their own words
About the company & team
T-Systems is part of the Deutsche Telekom group, with around 30,000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our clients' experience.
We trust in people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team, guided by respect, integrity, and the passion to do better every day.
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