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Agentic AI & ITSM/AIOps Solutions Architect (m/f/d)

T-Systems Iberia
T-Systems Iberia
València, Spain (Hybrid)HybridCompetitiveSenior · 5+ yearsPermanent
HybridAgentic-aiRagLlmAiopsItilPythonLangchainAzure-aiAdded today

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

Requirements

Requisitos

  • Experiencia mínima de 5 años en proyectos tecnológicos, desarrollo software, arquitectura o delivery de soluciones empresariales.
  • Experiencia demostrable en soluciones de IA generativa.
  • Conocimientos sólidos en LLMs, embeddings, bases de datos vectoriales, RAG, prompting avanzado y evaluación de respuestas.
  • Experiencia en diseño o implementación de agentes, workflows agentic, herramientas para agentes o sistemas multiagente.
  • Conocimiento funcional de procesos ITSM/ITIL: gestión de incidencias, peticiones, problemas, cambios, SLAs, escalados, prioridades, grupos resolutores, KEDB y KB.
  • Experiencia o conocimiento en Application Management, soporte N1/N2/N3, operación de aplicaciones, observabilidad o AIOps.
  • Experiencia integrando soluciones IA con APIs, servicios cloud, aplicaciones empresariales y fuentes de datos corporativas.
  • Conocimientos sólidos de desarrollo software y capacidad para entender, integrar y orientar arquitecturas Java, .NET, Python, JavaScript/TypeScript, Angular, React, Vue u otros stacks empresariales.
  • Conocimientos de SDLC, DevOps, GitHub, CI/CD, testing, quality gates, observabilidad y compliance.
  • Experiencia en metodologías de gestión de proyectos clásicas, ágiles o híbridas.
  • Experiencia participando en la ejecución de proyectos tecnológicos complejos.
  • Capacidad para liderar equipos multidisciplinares y coordinar trabajo técnico.
  • Titulación superior en Informática, Telecomunicaciones, Ingeniería o similar. Recomendable MECES 2 o experiencia equivalente demostrable.

Requisitos valorables

  • Python aplicado a IA, automatización o integración.
  • Frameworks de agentes: LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI o equivalentes.
  • Azure AI, Azure OpenAI, Azure AI Search, OpenAI API, Anthropic, Vertex AI, modelos open-source o plataformas similares.
  • Bases vectoriales: Qdrant, Weaviate, Milvus, Chroma, Pinecone, OpenSearch, Elasticsearch u otras.
  • Experiencia en NLP, clasificación, extracción de entidades, clustering, matching semántico o minería de texto.
  • Experiencia en automatización mediante APIs, scripts, RPA, workflows, runbooks o herramientas de orquestación.
  • Experiencia en observabilidad: logs, métricas, trazas, health checks, correlación de eventos o validación post-ejecución.
  • Conocimiento de herramientas ITSM como ServiceNow, Remedy, Jira Service Management, BMC, EasyVista u otras.
  • Conocimiento de ITIL Foundation o experiencia equivalente en procesos de servicio.
  • Experiencia en KEDB, KB, CMDB, catálogo de servicios, catálogo de peticiones o gestión de activos.
  • Certificaciones o formación en IA generativa, prompt engineering, cloud AI, arquitectura cloud, ITIL, DevOps o AIOps.
  • Experiencia en entornos legacy o modernización de aplicaciones.

Perfil personal

  • Curiosidad tecnológica y mentalidad maker.
  • Interés por nuevas herramientas, modelos, arquitecturas y enfoques de IA.
  • Capacidad para convertir problemas operativos complejos en soluciones prácticas, medibles y gobernables.
  • Perfil colaborativo, orientado a construir con equipos técnicos y funcionales.
  • Capacidad para liderar cuando sea necesario y asumir tareas hands-on.
  • Orientación a evidencia, validación, trazabilidad y mejora continua.
  • Buen criterio para diferenciar entre automatización segura, automatización supervisada y procesos que requieren intervención humana.

Benefits

¿Qué te ofrecemos?

Entorno y flexibilidad
• Ambiente internacional, dinámico y colaborativo.
• T-Social: iniciativas de carácter social (deportivas, comunitarias, de salud, ...).
• Modelo de trabajo híbrido (teletrabajo/presencial).
• Horario flexible.
• 4 semanas de teletrabajo al año.

Desarrollo profesional
• Formación a tu medida: acceso a Coursera para que aprendas lo que quieras, cuando quieras.
• Clases semanales de idiomas (inglés, español y alemán).
• Sesiones de Mentoría a nivel global y Experience Days.

Compensación y beneficios
• Plan de compensación flexible (seguro médico, tickets restaurante, guardería, transporte).
• Telemedicina.
• Seguro de vida y accidentes.
• Fondo social.

Bienestar y tiempo libre
• Más de 26 días laborables de vacaciones al año.
• Acceso gratuito a especialistas (salud, bienestar y asesoramiento legal).
• 100% del salario en caso de baja médica.

¡Y muchas más ventajas de formar parte de T-Systems!

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 an Agentic AI & ITSM/AIOps Solutions Architect to design enterprise solutions based on generative AI, intelligent agents, RAG, automation, observability, and orchestration of complex workflows, particularly applied to support, operations, ITSM, AIOps, and service management contexts.

The successful candidate will be responsible for defining agent models, tools, memory, context, decision flows, evidence retrieval, assisted automation, scoring, human validation, and continuous improvement mechanisms. We require a senior profile with a technical vision and hands-on capability to support the implementation of AI solutions applied to real business and operational processes.

Responsibilities

  • Design generative AI solutions applied to business and operational processes.
  • Define agentic architectures: agents, sub-agents, tools, memory, context, workflows, and checkpoints.
  • Design AI flows applied to ITSM/AIOps processes: classification, prioritization, assignment, diagnosis, resolution, escalation, closure, reopening, and continuous learning.
  • Define RAG patterns over documentation, knowledge bases, historical tickets, work notes, KEDB, KB, runbooks, corporate sources, logs, metrics, and traces.
  • Design advanced prompting strategies, structured generation, evidence retrieval, and response evaluation.
  • Define scoring models: confidence, similarity, risk, criticality, automation eligibility, and response quality.
  • Design human-in-the-loop mechanisms, policy gates, and criteria to differentiate between assisted, supervised, or autonomous automation.
  • Integrate AI agents with APIs, internal systems, cloud platforms, ITSM tools, observability tools, external services, and corporate data sources.
  • Participate in identifying candidate cases for automation based on process analysis, operational history, and technical knowledge.
  • Participate in the development and completion of services using automatic code generation tools.
  • Coordinate and support technical teams in the implementation of AI solutions based on agents, RAG, workflows, and automation.
  • Participate in the continuous improvement of agents, prompts, workflows, AI tools, internal accelerators, and evaluation mechanisms.
  • Stay up-to-date with advancements in generative AI, LLMs, agents, RAG, model evaluation, AIOps, automation, and emerging architectures.
  • Act as a point of contact for internal and external stakeholders: end customers, technical teams, partners, functional areas, operations, architecture, and project management.

Requirements

Requirements

  • Minimum of 5 years of experience in technology projects, software development, architecture, or enterprise solution delivery.
  • Proven experience in generative AI solutions.
  • Solid knowledge of LLMs, embeddings, vector databases, RAG, advanced prompting, and response evaluation.
  • Experience in designing or implementing agents, agentic workflows, agent tools, or multi-agent systems.
  • Functional knowledge of ITSM/ITIL processes: incident management, requests, problems, changes, SLAs, escalations, priorities, resolution groups, KEDB, and KB.
  • Experience or knowledge in Application Management, N1/N2/N3 support, application operations, observability, or AIOps.
  • Experience integrating AI solutions with APIs, cloud services, enterprise applications, and corporate data sources.
  • Solid knowledge of software development and the ability to understand, integrate, and guide Java, .NET, Python, JavaScript/TypeScript, Angular, React, Vue, or other enterprise stacks.
  • Knowledge of SDLC, DevOps, GitHub, CI/CD, testing, quality gates, observability, and compliance.
  • Experience in classic, agile, or hybrid project management methodologies.
  • Experience participating in the execution of complex technology projects.
  • Ability to lead multidisciplinary teams and coordinate technical work.
  • Higher education degree in Computer Science, Telecommunications, Engineering, or similar. MECES 2 level or equivalent demonstrable experience is recommended.

Desirable Requirements

  • Python applied to AI, automation, or integration.
  • Agent frameworks: LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalents.
  • Azure AI, Azure OpenAI, Azure AI Search, OpenAI API, Anthropic, Vertex AI, open-source models, or similar platforms.
  • Vector databases: Qdrant, Weaviate, Milvus, Chroma, Pinecone, OpenSearch, Elasticsearch, or others.
  • Experience in NLP, classification, entity extraction, clustering, semantic matching, or text mining.
  • Experience in automation via APIs, scripts, RPA, workflows, runbooks, or orchestration tools.
  • Experience in observability: logs, metrics, traces, health checks, event correlation, or post-execution validation.
  • Knowledge of ITSM tools such as ServiceNow, Remedy, Jira Service Management, BMC, EasyVista, or others.
  • Knowledge of ITIL Foundation or equivalent experience in service processes.
  • Experience in KEDB, KB, CMDB, service catalog, request catalog, or asset management.
  • Certifications or training in generative AI, prompt engineering, cloud AI, cloud architecture, ITIL, DevOps, or AIOps.
  • Experience in legacy environments or application modernization.

Personal Profile

  • Technological curiosity and a maker mindset.
  • Interest in new tools, models, architectures, and AI approaches.
  • Ability to convert complex operational problems into practical, measurable, and governable solutions.
  • Collaborative profile, oriented towards building with technical and functional teams.
  • Ability to lead when necessary and take on hands-on tasks.
  • Orientation towards evidence, validation, traceability, and continuous improvement.
  • Good judgment in differentiating between safe automation, supervised automation, and processes requiring human intervention.

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, daycare, transport).
• Telemedicine.
• Life and accident insurance.
• Social fund.

Well-being and Leisure Time
• 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 sick 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.

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