> Markdown version of [/jobs/ext/3076617-agentic-solutions-architect](https://www.wearedevelopers.com/jobs/ext/3076617-agentic-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Agentic Solutions Architect

- **Company:** T-Systems Iberia
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Airflow, User Authentication, Big Data, Cloud Computing, Databases, DevOps, Data Processing, Large Language Models, Generative AI, Machine Learning Operations, Restful APIs
- **Published:** September 25, 2026
- **Apply:** https://www.recruit.net/job/agentic-solutions-architect-jobs/8707E2FF5C9EB3E1

## About the Role

with extensive experience leading the design and implementation of transformative platforms supported by AI and BigData, specifically with expertise in developing solutions based on agentic capabilities, decision-making using Generative AI, and patterns such as RAG, semantic databases, and foundational models.#### Must Have Skills

 * Extensive experience (10+ years) in designing and implementing complex technological solutions, with a special focus on corporate and regulated environments
 * Approximately 5 years of experience in technological projects supported by AI or Data exploitation
 * Experience in creating solutions based on Generative AI and semantic data processing (RAG, ontologies, etc.), on Cloud or OnPrem
 * Direct experience in LLMs (Large Language Models)
 * Direct experience with semantic databases
 * Direct experience with Genetic Frameworks such as Langraph, CrewAI, LangChain, n8n, etc.
 * Familiarity with the use of DevOps technologies
 * Familiarity with the use of LLMops technologies
 * Familiarity with the use of MLOps technologies
 * Ability to effectively propose and defend AI/ML/IAgen solutions, covering functional, technical and operational aspects (authentication, observability, security) both in Cloud and OnPrem environments
 * Knowledge in modern integration mechanisms such as Events, API Rest, MCP, etc.
 * Knowledge in modern process orchestration technologies (Airflow, Temporal, etc.)#### Nice to Have Skills
 * English conversational level
 * Knowledge of standards and procedures in the financial and banking sector
 * Experience in document processing (OCR, NLP)

## Description

with extensive experience leading the design and implementation of transformative platforms supported by AI and BigData.
Specifically, this role focuses on developing solutions based on agentic capabilities and decision-making using Generative AI and patterns such as RAG, queries supported by semantic databases and graphs, use and adaptation of foundational models.#### Responsibilities

 * Develop the
conceptual design
and
architecture of technological components
that respond to the needs of the development of use cases based on the exploitation of AI and agents

 * Proactively contribute to the design and growth of frameworks and platforms for executing agentic solutions
 * Ensure compliance with the principles of security, observability and industrialization of solutions
 * Design integrations with tools and sources/data sources based on modern integration protocols### Your ProfileWe are looking for an


## Related Videos

- [The Missing Layer Between Enterprise Data and AI Agents](https://www.wearedevelopers.com/videos/100286-the-missing-layer-between-enterprise-data-and-ai-agents)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment)

## Related Articles

- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)