Cloud & AI Platform Architect (m/f/d)
T-Systems Iberia18 days ago
Valencia, SpainSenior
Responsibilities
- Design end-to-end cloud architectures for enterprise artificial intelligence solutions.
- Define AI platforms supporting generative AI, LLMs, RAG, agents, embeddings, vector databases, automation, and observability.
- Integrate AI solutions with APIs, internal and external services, legacy systems, and corporate platforms.
- Establish secure, scalable, reusable, and operable architecture patterns.
- Design deployment models, environments, continuous integration, traceability, logging, monitoring, and auditing practices.
- Participate hands-on in developing, integrating, and completing services using automated code-generation tools and development accelerators.
- Guide technical teams on architecture, integration, security, deployment, and operations decisions.
- Improve internal AI tools, frameworks, building blocks, and accelerators.
- Define technical governance, consumption controls, observability, security, and maintainability criteria.
- Coordinate with customers, technical teams, partners, architecture, security, operations, and project leadership.
Requirements
- At least 5 years of experience in technology development, architecture, or delivery projects.
- Demonstrable experience designing cloud architectures and enterprise platforms.
- Experience with generative AI solutions, LLM integration, RAG, agents, or cognitive services.
- Knowledge of LLMs, embeddings, vector databases, AI APIs, and integration patterns.
- Experience with Azure, AWS, and GCP cloud environments.
- Strong knowledge of API-based architectures, microservices, containers, events, and cloud-native services.
- Strong software development knowledge and the ability to understand 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 of Platform Engineering, observability, building-block tooling, quality gates, compliance, SBOM, and software lifecycle governance.
- Knowledge of cloud security, including IAM, RBAC, secrets management, encryption, auditing, and environment segregation.
- Experience with classical, agile, or hybrid project management methodologies.
- Experience leading multidisciplinary technical teams and delivering real production cases.
- Higher education qualification in Computer Science, Telecommunications, Engineering, or a similar field.
- MECES 2, equivalent demonstrable experience, cloud or AI certifications, and experience with Azure AI, Azure OpenAI, Azure AI Search, OpenAI API, Anthropic, Vertex AI, open-source models, multi-agent architectures, ITSM, CRM, ERP, legacy modernization, or prompt engineering are desirable.
Benefits
- Hybrid work model combining remote and in-office work.
- Flexible working hours and four weeks of remote work per year.
- International, dynamic, and collaborative work environment.
- Access to Coursera, weekly English, Spanish, and German classes, global mentoring, and Experience Days.
- Flexible compensation plan including medical insurance, meal vouchers, childcare, and transportation benefits.
- Telemedicine, life and accident insurance, and a social fund.
- More than 26 working days of annual vacation.
- Free access to health, wellbeing, and legal-advice specialists.
- 100% of salary during medical leave.
Tech Stack
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