Cloud & AI Platform Architect (m/f/d)

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Requirements

Requirements
  • Minimum of 5 years of experience in development, architecture, or delivery of technology projects.
  • Proven experience in designing cloud architectures and enterprise platforms.
  • Experience with generative AI solutions, integration of LLMs, RAG, agents, or cognitive services.
  • Knowledge of LLMs, embeddings, vector databases, AI APIs, and integration patterns.
  • Experience in cloud environments: Azure, AWS, GCP...
  • Solid knowledge of API-based architectures, microservices, containers, events, and cloud-native services.
  • Strong software development knowledge and the ability to understand, integrate, and guide Java, .NET, Python, JavaScript/TypeScript, Angular, React, Vue, or other enterprise stacks.
  • Experience with DevOps, CI/CD, GitHub, GitLab, Azure DevOps, or equivalent tools.
  • Knowledge in Platform Engineering, observability, building blocks tooling, quality gates, compliance, SBOM, and software lifecycle governance.
  • Knowledge of cloud security: IAM, RBAC, secret management, encryption, auditing, and environment segregation.
  • Experience with classic, agile, or hybrid project management methodologies.
  • Experience in technical leadership of multidisciplinary teams.
  • Proven experience with real-world production cases.
  • University degree in Computer Science, Telecommunications, Engineering, or similar. MECES Level 2 or equivalent demonstrable experience is recommended.

Desirable Requirements

  • Experience with Azure AI, Azure OpenAI, Azure AI Search, OpenAI API, Anthropic, Vertex AI, open-source models, or equivalent platforms.
  • Experience in multi-agent architectures or agentic workflows.
  • Experience integrating solutions with ITSM, CRM, ERP tools, corporate portals, document repositories, or legacy systems.
  • Certifications in cloud, generative AI, cloud architecture, DevOps, or prompt engineering.
  • Desirable knowledge of Python.
  • Experience in legacy environments or application modernization.

Personal Profile

  • Technological curiosity and a maker mindset.
  • Interest in new tools, architectures, and engineering approaches.
  • Ability to translate complex ideas into practical, scalable, and operable solutions.
  • Collaborative profile, willing to take on technical tasks and lead when necessary.
  • Ability to work with multidisciplinary teams and ambiguous contexts.
  • Results-oriented, focused on technical quality and continuous improvement.
  • Good communication skills with technical, functional, and executive profiles.
  • Ability to balance innovation, security, cost, scalability, and maintainability.

Benefits

• International, dynamic, and collaborative environment.
• T-Social: social initiatives (sports, community, health, ...).
• Hybrid work model (remote/on-site).
• Flexible hours.
• 4 weeks of remote work per year.

• Tailored training: access to Coursera to learn what you want, when you want.
• Weekly language classes (English, Spanish, and German).
• Global Mentorship sessions and Experience Days.

• Flexible compensation plan (health insurance, meal vouchers, nursery, transport).
• Telemedicine.
• Life and accident insurance.
• Social fund.

• More than 26 working days of vacation per year.
• Free access to specialists (health, well-being, and legal advice).
• 100% of salary in case of medical leave.

Job Description

Company Description

T-Systems is part of the Deutsche Telekom group, with approximately 30,000 employees worldwide. We create purpose-driven technology 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 customers' experience.

We believe in people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are a single global team, guided by respect, integrity, and a passion for doing better every day.

Job Description

We are looking for a Cloud & AI Platform Architect to lead the design, integration, and industrialization of artificial intelligence solutions within complex enterprise ecosystems.
The successful candidate will be responsible for defining cloud architectures, technical AI platforms, integration with corporate systems, security, observability, technical governance, scalability, and the operation of solutions based on generative AI, intelligent agents, RAG, automation, and cloud-native services.
We require a senior profile with an architectural vision and hands-on capability, able to guide technical teams in the real implementation of solutions.

Responsibilities

  • Design end-to-end cloud architectures for enterprise artificial intelligence solutions.
  • Define technical platforms that support generative AI capabilities, LLMs, RAG, agents, embeddings, vector databases, automation, and observability.
  • Integrate AI solutions into existing enterprise ecosystems, connecting with APIs, internal services, external services, legacy systems, and corporate platforms.
  • Define secure, scalable, reusable, and operable architecture patterns.
  • Design deployment models, environments, continuous integration, traceability, logging, monitoring, and auditing.
  • Participate in the development, integration, and completion of services using automatic code generation tools and development accelerators.
  • Coordinate and be part of technical teams during implementation.
  • Support development teams in decisions regarding architecture, integration, security, deployment, and operation.
  • Participate in the continuous improvement of tools, frameworks, building blocks, and internal AI accelerators.
  • Define criteria for technical governance, consumption control, observability, security, and maintainability of AI solutions.
  • Stay up to date with the latest advancements in applied AI, cloud, platform engineering, DevOps, AIOps, and automation.
  • Act as a point of contact for various internal and external stakeholders: end customers, technical teams, partners, architecture, security, operations, and project management.
Requirements

Requirements

  • Minimum of 5 years of experience in development, architecture, or delivery of technology projects.
  • Proven experience in designing cloud architectures and enterprise platforms.
  • Experience with generative AI solutions, integration of LLMs, RAG, agents, or cognitive services.
  • Knowledge of LLMs, embeddings, vector databases, AI APIs, and integration patterns.
  • Experience in cloud environments: Azure, AWS, GCP...
  • Solid knowledge of API-based architectures, microservices, containers, events, and cloud-native services.
  • Strong software development knowledge and the ability to understand, integrate, and guide Java, .NET, Python, JavaScript/TypeScript, Angular, React, Vue, or other enterprise stacks.
  • Experience with DevOps, CI/CD, GitHub, GitLab, Azure DevOps, or equivalent tools.
  • Knowledge in Platform Engineering, observability, building blocks tooling, quality gates, compliance, SBOM, and software lifecycle governance.
  • Knowledge of cloud security: IAM, RBAC, secret management, encryption, auditing, and environment segregation.
  • Experience with classic, agile, or hybrid project management methodologies.
  • Experience in technical leadership of multidisciplinary teams.
  • Proven experience with real-world production cases.
  • University degree in Computer Science, Telecommunications, Engineering, or similar. MECES Level 2 or equivalent demonstrable experience is recommended.

Desirable Requirements

  • Experience with Azure AI, Azure OpenAI, Azure AI Search, OpenAI API, Anthropic, Vertex AI, open-source models, or equivalent platforms.
  • Experience in multi-agent architectures or agentic workflows.
  • Experience integrating solutions with ITSM, CRM, ERP tools, corporate portals, document repositories, or legacy systems.
  • Certifications in cloud, generative AI, cloud architecture, DevOps, or prompt engineering.
  • Desirable knowledge of Python.
  • Experience in legacy environments or application modernization.

Personal Profile

  • Technological curiosity and a maker mindset.
  • Interest in new tools, architectures, and engineering approaches.
  • Ability to translate complex ideas into practical, scalable, and operable solutions.
  • Collaborative profile, willing to take on technical tasks and lead when necessary.
  • Ability to work with multidisciplinary teams and ambiguous contexts.
  • Results-oriented, focused on technical quality and continuous improvement.
  • Good communication skills with technical, functional, and executive profiles.
  • Ability to balance innovation, security, cost, scalability, and maintainability.
Additional Information

What do we offer?

Environment and Flexibility
• International, dynamic, and collaborative environment.
• T-Social: social initiatives (sports, community, health, ...).
• Hybrid work model (remote/on-site).
• Flexible 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 Mentorship sessions and Experience Days.

Compensation and Benefits
• Flexible compensation plan (health insurance, meal vouchers, nursery, transport).
• Telemedicine.
• Life and accident insurance.
• Social fund.

Well-being and Leisure
• More than 26 working days of vacation per year.
• Free access to specialists (health, well-being, and legal advice).
• 100% of salary in case of medical leave.

And many more benefits 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 CVs from candidates who meet the requirements specified for each offer.

Videos To Watch
Need a visa? No sponsorship mentioned here. Browse visa jobs