> Markdown version of [/jobs/ext/2022653-senior-ai-engineer-data-ai-organisation-all-genders](https://www.wearedevelopers.com/jobs/ext/2022653-senior-ai-engineer-data-ai-organisation-all-genders). 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).

---

# (Senior) Ai Engineer - Data & Ai Organisation (All Genders)

- **Company:** Merck
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Computer Programming, Continuous Integration, Information Engineering, DevOps, Python (Programming Language), Machine Learning, Natural Language Processing, Software Tools, Standard Sql, Enterprise Data Management, Large Language Models, Snowflake, Grafana, Multi-Agent Systems, Apache Spark, Data Analytics, Integration Frameworks, Machine Learning Operations, Docker
- **Published:** August 11, 2026
- **Apply:** https://www.buscojobs.com.es/senior-ai-engineer-data-ai-organisation-all-genders-en-barcelona-ID-366953961

## About the Role

Compensaciones / Beneficios * Design and implement analytics pipelines and agentic workflows * Integrate LLMs, predictive models, and multi-agent frameworks * Ensure model reliability, reproducibility, and enterprise-scale performance * Collaborate with PODs and cross-functional teams to deliver AI outputs via APIs, dashboards, and embedded analytics * Support business teams in consuming AI outputs and building user-facing insights * Contribute to internal AI literacy through mentoring and knowledge sharing * Experiment with new AI approaches and measure impact * Maintain awareness of security, explainability, and governance in AI solutions Responsabilidades * 5+ years of experience in data science, data engineering, analytics, or visualization * Experience with Finance, HR, or Procurement data and core business processes * Excellent programming skills in Python and SQL * Strong foundation in ML, statistics, predictive modeling, and NLP with LLMs * Familiarity with vector
stores, reranking, and LLM observability tools (Langfuse, LangSmith) * Experience with agentic engineering tools (Claude Code, OpenAI Codex, OpenCode) * Experience with cloud/enterprise data platforms (AWS, Palantir Foundry, Snowflake) and data frameworks (Spark, polars, DuckDB, dbt) * MLOps u**** DevOps experience (MLflow, CI/CD, Docker) * Curiosity about AI trends and strong communication in English; German a plus Requisitos principales *

## Description

Experteer Overview In this AI Engineer role, you design and operate scalable analytics pipelines and enterprise-grade agentic workflows to deliver data-driven AI solutions.You join the Data u****amp; AI Organization (MDAO) to partner with Product Owners, Data Engineers, and Data Scientists across functions, translating insights into actionable outcomes.You embed explainability, security, and observability into AI solutions and leverage modern platforms to scale impact.This role offers hands-on work with LLMs, predictive models, and multi-agent systems to address business challenges and strategic data products.You will contribute to AI literacy and drive innovation across the organization.Compensaciones / Beneficios * Design and implement analytics pipelines and agentic workflows * Integrate LLMs, predictive models, and multi-agent frameworks * Ensure model reliability, reproducibility, and enterprise-scale performance * Collaborate with PODs and cross-functional teams to deliver AI outputs via APIs, dashboards, and embedded analytics * Support business teams in consuming AI outputs and building user-facing insights * Contribute to internal AI literacy through mentoring and knowledge sharing * Experiment with new AI approaches and measure impact * Maintain awareness of security, explainability, and governance in AI solutions Responsabilidades * 5+ years of experience in data science, data engineering, analytics, or visualization * Experience with Finance, HR, or Procurement data and core business processes * Excellent programming skills in Python and SQL * Strong foundation in ML, statistics, predictive modeling, and NLP with LLMs * Familiarity with vector stores, reranking, and LLM observability tools (Langfuse, LangSmith) * Experience with agentic engineering tools (Claude Code, OpenAI Codex, OpenCode) * Experience with cloud/enterprise data platforms (AWS, Palantir Foundry, Snowflake) and data frameworks (Spark, polars, DuckDB, dbt) * MLOps u**** DevOps experience (MLflow, CI/CD, Docker) * Curiosity about AI trends and strong communication in English; German a plus Requisitos principales *


## Related Videos

- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [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)
- [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale)
- [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture)
- [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey)
- [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)
- [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [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)