Senior Agentic Workflow Engineer, Biologics Discovery (Madrid)

Senior Agentic Workflow Engineer, Biologics Discovery (Madrid)

06 sep
|
Johnson u0026 Johnson
|
Madrid

06 sep

Johnson u0026 Johnson

Madrid

Experteer Overview As a Senior Agentic Workflow Engineer, you will architect and maintain agentic AI-driven workflows to accelerate biologics discovery. You’ll connect automation, data, models, and compute across the DMTL cycle, collaborating with AI/ML and lab-automation teams to enable closed-loop learning. This role combines science, data engineering, and advanced AI to reduce cycle time and improve reproducibility in a pharmaceutical setting. You will help shape one of the first agentic discovery engines in a large pharma environment and grow technical ownership over time.Compensaciones / Ventajas
- Build and improve agentic workflows that automate secondary analysis for biologics discovery assays
- Develop real-time or near-real-time data pipelines connecting automation software, data stores, models, and compute
- Collaborate with IT and platform teams to implement resilient APIs, observability, versioning, and end-to-end orchestration
- Integrate with Enterprise Generative AI platforms to extend GenAI capabilities to biologics discovery
- Work with ontology and MLOps teams to ensure data quality, provenance, and production readiness
- Contribute to AI-driven workflows that enable closed-loop feedback across the DMTL cycle
- Ensure data generated is high-quality, traceable,



interoperable, and AI-ready with strong metadata and lineage
- Identify opportunities to apply agentic AI to compress cycle time and improve reproducibility
- Partner with discovery and AI scientists to translate priorities into working systemsResponsabilidades
- Master's or Ph.D. in Computer Science, Engineering, or related computational field (or Bachelor's with substantial relevant experience)
- 2+ years building scientific workflow orchestration or automation software with agentic workflows
- Hands-on experience designing real-time data pipelines and integrating heterogeneous scientific data and instrument outputs
- Experience applying agentic AI and modern LLM-based agents to scientific or laboratory workflows
- Experience with enterprise GenAI platforms and retrieval-augmented approaches (RAG/GraphRAG)
- Strong communication skills and ability to operate in a matrixed organizationRequisitos principales
- medical, dental, vision
- life insurance
- short- and long-term disability
- 401(k) with potential employer contributions
- vacation up to 120 hours per year
- holiday time (13 days) plus time off for personal and family

📌 Senior Agentic Workflow Engineer, Biologics Discovery (Madrid)
🏢 Johnson u0026 Johnson
📍 Madrid

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