Senior Agentic AI Workflow Engineer for Biologics Discovery

Johnson & Johnson Co.; Madrid; Presencial; EUR 94.000 - 151.000; Jornada completa

Descripción de la vacante

Johnson & Johnson Innovative Medicine seeks a Senior Agentic Workflow Engineer to build agentic workflows and orchestration that support scientific data analysis and secondary processing across the DMTL cycle.

You will connect automation software, data stores, models, and compute, partnering with Discovery, Data Science, ISD, and GenAI teams to enable closed-loop feedback that improves downstream models and decisions.

Formación

• Master’s or Ph.D. in CS, Engineering, or a related computational field.
• At least 2 years building scientific workflow orchestration or automation.
• Hands-on experience designing real-time or near-real-time data pipelines and integrating diverse scientific data and instrument outputs.
• Experience applying agentic AI and modern LLM-based agents to scientific or laboratory workflows.
• Experience working with enterprise GenAI platforms and retrieval-augmented approaches.
• Strong communication skills and comfort operating in ambiguity within a matrixed organization.

Responsabilidades

• Agentic Orchestration & Integration: Build and improve agentic workflows that automate secondary analysis for biologics discovery assays.
• Develop real-time pipelines connecting automation software, data stores, models, and compute environments.
• Implement resilient APIs, observability, versioning, and end-to-end orchestration.
• Collaborate with GenAI platforms to extend capabilities for biologics discovery.
• Ensure data is reusable, semantically consistent, and production-ready.

Conocimientos

Agentic workflows

Data pipelines

LLM-based agents

Communication skills

Ambiguity tolerance

Educación

Master's or Ph.D. in CS/Engineering

Bachelor's with substantial experience

Herramientas

GenAI platforms

MLOps/DevOps

Workflow engines

Observability tools

Descripción del empleo

Johnson & Johnson Innovative Medicine seeks a Senior Agentic Workflow Engineer to build agentic workflows and orchestration that support scientific data analysis and secondary processing across the DMTL cycle.

You will connect automation software, data stores, models, and compute, partnering with Discovery, Data Science, ISD, and GenAI teams to enable closed-loop feedback that improves downstream models and decisions.