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

Job Description We are looking for a Cloud & AI Platform Architect to lead the design, integration and industrialization of artificial intelligence solutions in complex business ecosystems. The person will be responsible for defining cloud architectures, technical AI platforms, integration with corporate systems, security, observability, technical governance, scalability and operation of solutions based on generative AI, intelligent agents, RAG, automation and cloud-native services. A senior profile is required, with architectural vision and hands-on ability, capable of accompanying technical teams in the actual implementation of solutions.

Responsibilities

• Design end-to-end cloud architectures for artificial intelligence business solutions.

• Define technical platforms that support generative AI capabilities, LLMs, RAG, agents, embeddings, vector databases, automation and observability.

• Integrate AI solutions into existing business 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 termination of services using automatic code generation tools and development accelerators.

• Coordinate and form part of technical teams during implementation.

• Accompany development teams in architecture, integration, security, deployment and operation decisions.

• Participate in the continuous improvement of internal AI tools, frameworks, building blocks and accelerators.

• Define criteria for technical governance, consumption control, observability, security and maintainability of AI solutions.

• Keep up to date with the latest advances in applied AI, cloud, platform engineering, DevOps, AIOps and automation.

• Interlocution with different internal and external stakeholders: end customer, technical teams, partners, architecture, security, operation and project management.

Requirements

Requirements Minimum experience of 5 years in development, architecture or delivery of technological projects. Demonstrable experience in designing cloud architectures and business platforms. Experience in 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... Strong knowledge of API-based architectures, microservices, containers, events and cloud-native services. Strong knowledge of software development and ability to understand, integrate and guide Java, .NET, Python, Javascript/TypeScript, Angular, React, Vue or other business stacks. Experience in 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 segregation of environments. Experience in classic, agile or hybrid project management methodologies. Experience in technical leadership of multidisciplinary teams. Demonstrable experience with real cases in production. Higher degree in Computer Science, Telecommunications, Engineering or similar. MECES 2 or equivalent demonstrable experience is recommended. Valuable 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. Cloud certifications, generative AI, cloud architecture, DevOps or prompt engineering. Desirable knowledge of Python. Experience in legacy environments or application modernization. Personal profile Technological curiosity and maker mentality. 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. Orientation to results, technical quality and continuous improvement. Good communication skills with technical, functional and executive profiles. Criteria for balancing innovation, security, cost, scalability and maintainability. Additional Information What do we offer you? Environment and flexibility • International, dynamic and collaborative environment. • T-Social: social initiatives (sports, community, health,...). • Hybrid work model (teleworking/face-to-face). • Flexible schedule. • 4 weeks of teleworking per year. Professional Development • Tailor-made training: access to Coursera so you can 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, day care, transportation). • Telemedicine. • Life and accident insurance. • Social fund. Wellness and leisure • More than 26 working days of vacation per year. • Free access to specialists (health, wellness and legal advice). • 100% of the salary in case of medical 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 offer.

Your Task

We are looking for a Cloud & AI Platform Architect to lead the design, integration and industrialization of artificial intelligence solutions in complex business ecosystems. The person will be responsible for defining cloud architectures, technical AI platforms, integration with corporate systems, security, observability, technical governance, scalability and operation of solutions based on generative AI, intelligent agents, RAG, automation and cloud-native services. A senior profile is required, with architectural vision and hands-on ability, capable of accompanying technical teams in the actual implementation of solutions.

Responsibilities

• Design end-to-end cloud architectures for artificial intelligence business solutions

• Define technical platforms that support generative AI capabilities, LLMs, RAG, agents, embeddings, vector databases, automation and observability

• Integrate AI solutions into existing business 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 termination of services using automatic code generation tools and development accelerators

• Coordinate and form part of technical teams during implementation

• Accompany development teams in architecture, integration, security, deployment and operation decisions

• Participate in the continuous improvement of internal AI tools, frameworks, building blocks and accelerators

• Define criteria for technical governance, consumption control, observability, security and maintainability of AI solutions

• Keep up to date with the latest advances in applied AI, cloud, platform engineering, DevOps, AIOps and automation

• Interlocution with different internal and external stakeholders: end customer, technical teams, partners, architecture, security, operation and project management

Your Profile

We are looking for a senior Cloud & AI Platform Architect with extensive experience in cloud architecture, artificial intelligence solutions, and technical leadership. The ideal candidate should have strong architectural vision, hands-on implementation abilities, and expertise in generative AI, cloud-native services, and platform engineering.

Must Have Skills

• Minimum 5 years of experience in development, architecture or delivery of technological projects

• Demonstrable experience in designing cloud architectures and business platforms

• Experience in generative AI solutions

• Experience with integration of LLMs (Large Language Models)

• Experience with RAG (Retrieval-Augmented Generation)

• Experience with agents or cognitive services

• Knowledge of LLMs, embeddings, vector databases, AI APIs and integration patterns

• Experience in cloud environments: Azure, AWS, GCP

• Strong knowledge of API-based architectures

• Strong knowledge of microservices

• Strong knowledge of containers

• Strong knowledge of events and cloud-native services

• Strong knowledge of software development and ability to understand, integrate and guide Java

• Strong knowledge of software development and ability to understand, integrate and guide .NET

• Strong knowledge of software development and ability to understand, integrate and guide Python

• Strong knowledge of software development and ability to understand, integrate and guide Javascript/TypeScript

• Strong knowledge of software development and ability to understand, integrate and guide Angular

• Strong knowledge of software development and ability to understand, integrate and guide React

• Strong knowledge of software development and ability to understand, integrate and guide Vue or other business stacks

• Experience in DevOps

• Experience in CI/CD

• Experience with GitHub, GitLab, Azure DevOps, or equivalent tools

• Knowledge in Platform Engineering

• Knowledge in observability

• Knowledge in building blocks tooling

• Knowledge in quality gates

• Knowledge in compliance

• Knowledge in SBOM (Software Bill of Materials)

• Knowledge in software lifecycle governance

• Knowledge of cloud security: IAM, RBAC, secret management, encryption, auditing and segregation of environments

• Experience in classic, agile or hybrid project management methodologies

• Experience in technical leadership of multidisciplinary teams

• Demonstrable experience with real cases in production

• Higher degree in Computer Science, Telecommunications, Engineering or similar (MECES 2 or equivalent demonstrable experience recommended)

• Technological curiosity and maker mentality

• 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

• Orientation to results, technical quality and continuous improvement

• Good communication skills with technical, functional and executive profiles

• Criteria for balancing innovation, security, cost, scalability and maintainability

Nice to Have Skills

• Experience with Azure AI

• Experience with Azure OpenAI

• Experience with Azure AI Search

• Experience with OpenAI API

• Experience with Anthropic

• Experience with Vertex AI

• Experience with open-source models or equivalent platforms

• Experience in multi-agent architectures or agentic workflows

• Experience integrating solutions with ITSM tools

• Experience integrating solutions with CRM tools

• Experience integrating solutions with ERP tools

• Experience integrating solutions with corporate portals

• Experience integrating solutions with document repositories

• Experience integrating solutions with legacy systems

• Cloud certifications

• Generative AI certifications

• Cloud architecture certifications

• DevOps certifications

• Prompt engineering certifications

• Desirable knowledge of Python

• Experience in legacy environments or application modernization