Senior Agentic AI Workflow Engineer - Biologics Discovery

6010-Biosense Webster Inc. Legal Entity; Madrid; Presencial; EUR 55.000 - 88.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Annual bonus

Vacation days

Parental leave

Descripción de la vacante

Johnson & Johnson Innovative Medicine seeks a Senior Agentic Workflow Engineer to help build the agentic layer of our Biologics Discovery data engine. Join early builders of agentic AI workflows that automate secondary data processing and connect outputs to models across the DMTL cycle.

The role is based at Madrid, Spain, with no remote option, collaborating with AI/ML teams, scientists, and data engineers to deliver AI-ready, well-documented workflows and high-quality data.

Formación

• Master's or Ph.D. in Computer Science, Engineering, or a related computational field (or Bachelor's with substantial relevant experience).
• At least 2 years experience building scientific workflow orchestration, or automation software, including experience in agentic workflows.
• Hands-on experience designing real-time or near-real-time data pipelines and integrating complex and heterogeneous scientific data and instrument outputs.
• Experience applying agentic AI and modern LLM-based agents (or comparable intelligent-automation systems) to scientific or laboratory workflows.
• Experience working with enterprise or shared GenAI platforms and retrieval-augmented approaches (e.g., RAG or GraphRAG) rather than standing up capabilities from scratch.
• Strong communication skills and comfort operating in ambiguity within a matrixed organization.
• Preferred Experience in drug discovery domains such as biologics, high-throughput experimentation, or imaging.
• Exposure to lab automation, robotic systems, or cyber-physical systems for R&D.
• Familiarity with MLOps/DevOps, workflow engines, and production-grade monitoring/observability.
• Understanding of FAIR data, ontologies, semantic models, lineage/provenance, and AI-ready data standards.

Responsabilidades

• Agentic Orchestration & Integration Build and continuously improve agentic workflows that automate secondary analysis for biologics discovery assays, replacing fragile manual and ad-hoc scripted steps.
• Develop and maintain real-time or near-real-time pipelines connecting automation software, data stores, models, and compute environments.
• Partner with IT and platform teams to implement resilient APIs, observability, versioning, and workflow orchestration end-to-end.
• Work with our Enterprise Generative AI team to build on shared GenAI platforms, models, and agentic frameworks - extending them for biologics discovery rather than duplicating enterprise capabilities.
• Partner with ontology and MLOps colleagues so automated workflows produce semantically consistent, reusable data and deploy reliably into production.
• AI-Driven Scientific Learning Contribute to workflows optimized for AI-driven learning, not just throughput, supporting closed-loop feedback across the design-make-test-learn (DMTL) cycle.
• Collaborate with discovery scientists, AI/ML scientists, and data engineers so experimental outputs improve downstream property models and decision-making.
• Help ensure data generated through agentic workflows is high-quality, traceable, interoperable, and AI-ready, with strong metadata, provenance, and lineage.
• Identify and propose opportunities to apply agentic AI to compress cycle time and improve reproducibility.

Conocimientos

Agentic workflows

Data pipelines

GenAI platforms

LLM-based agents

MLOps/DevOps

Communication

Educación

Master's or PhD in CS/Engineering

Bachelor's with substantial relevant experience

Herramientas

Workflow engines

GenAI platforms

Descripción del empleo

Johnson & Johnson Innovative Medicine seeks a Senior Agentic Workflow Engineer to help build the agentic layer of our Biologics Discovery data engine. Join early builders of agentic AI workflows that automate secondary data processing and connect outputs to models across the DMTL cycle.

The role is based at Madrid, Spain, with no remote option, collaborating with AI/ML teams, scientists, and data engineers to deliver AI-ready, well-documented workflows and high-quality data.