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 & 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.

Responsabilidades 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

Requisitos principales 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 & DevOps experience (MLflow, CI/CD, Docker)

Curiosity about AI trends and strong communication in English; German a plus excellent communication collaboration curiosity

Python

SQL

ML/AI

📌 (Senior) AI Engineer - Data & AI Organisation (all genders)
🏢 Merck
📍 Barcelona