Senior Agentic Workflow Engineer, Biologics Discovery
Johnson & Johnson
September 01, 2026
On-site
Raritan, NJ
IT
Senior Agentic Workflow Engineer (Agentic AI workflows for biologics discovery)
Position Summary
Build and maintain agentic workflows and orchestration for scientific data analysis and secondary processing. Implement automation/AI pipelines connecting automation software, data stores, models, and compute; partner to translate scientific priorities into working systems and enable closed-loop feedback across the DMTL cycle.
Key Responsibilities
- Build and continuously improve agentic workflows to automate secondary analysis for biologics discovery assays.
- Develop and maintain real-time/near-real-time pipelines connecting automation, data stores, models, and compute.
- Partner with IT/platform teams for resilient APIs, observability, versioning, and end-to-end workflow orchestration.
- Extend shared GenAI platforms/agentic frameworks for biologics discovery.
- Ensure automated outputs are semantically consistent, reusable, and production-deployable; support AI-driven learning (closed-loop, AI-ready data with strong metadata/provenance/lineage).
Qualifications
Required:
- Master’s/Ph.D. in CS/Engineering or related field (or Bachelor’s with substantial relevant experience).
- 2+ years building scientific workflow orchestration/automation, including agentic workflows.
- Hands-on real-time/near-real-time data pipelines integrating heterogeneous scientific/instrument outputs.
- Experience applying agentic AI/LLM agents (or similar intelligent automation) to scientific/lab workflows.
- Experience with enterprise/shared GenAI platforms and RAG/GraphRAG.
- Strong communication in ambiguous matrixed settings.
Preferred:
- Drug discovery domain experience (biologics, high-throughput experimentation, imaging).
- Lab automation/robotics/cyber-physical systems exposure.
- MLOps/DevOps, workflow engines, production monitoring/observability.
- FAIR data, ontologies/semantic models, lineage/provenance, AI-ready standards.
Location (no remote): Spring House, PA (strongly preferred), Titusville or Raritan, NJ, Cambridge, MA, or Madrid, Spain.
Comp/Benefits (as listed): Base pay range $109,000–$174,800; annual performance bonus; medical/dental/vision/life/short- and long-term disability and other listed insurance; 401(k) and pension; vacation up to 120 hours/year, sick up to 40 hours/year, holiday/floating holidays up to 13 days/year and up to 40 hours Work/Personal/Family Time/year.
Position Summary
Build and maintain agentic workflows and orchestration for scientific data analysis and secondary processing. Implement automation/AI pipelines connecting automation software, data stores, models, and compute; partner to translate scientific priorities into working systems and enable closed-loop feedback across the DMTL cycle.
Key Responsibilities
- Build and continuously improve agentic workflows to automate secondary analysis for biologics discovery assays.
- Develop and maintain real-time/near-real-time pipelines connecting automation, data stores, models, and compute.
- Partner with IT/platform teams for resilient APIs, observability, versioning, and end-to-end workflow orchestration.
- Extend shared GenAI platforms/agentic frameworks for biologics discovery.
- Ensure automated outputs are semantically consistent, reusable, and production-deployable; support AI-driven learning (closed-loop, AI-ready data with strong metadata/provenance/lineage).
Qualifications
Required:
- Master’s/Ph.D. in CS/Engineering or related field (or Bachelor’s with substantial relevant experience).
- 2+ years building scientific workflow orchestration/automation, including agentic workflows.
- Hands-on real-time/near-real-time data pipelines integrating heterogeneous scientific/instrument outputs.
- Experience applying agentic AI/LLM agents (or similar intelligent automation) to scientific/lab workflows.
- Experience with enterprise/shared GenAI platforms and RAG/GraphRAG.
- Strong communication in ambiguous matrixed settings.
Preferred:
- Drug discovery domain experience (biologics, high-throughput experimentation, imaging).
- Lab automation/robotics/cyber-physical systems exposure.
- MLOps/DevOps, workflow engines, production monitoring/observability.
- FAIR data, ontologies/semantic models, lineage/provenance, AI-ready standards.
Location (no remote): Spring House, PA (strongly preferred), Titusville or Raritan, NJ, Cambridge, MA, or Madrid, Spain.
Comp/Benefits (as listed): Base pay range $109,000–$174,800; annual performance bonus; medical/dental/vision/life/short- and long-term disability and other listed insurance; 401(k) and pension; vacation up to 120 hours/year, sick up to 40 hours/year, holiday/floating holidays up to 13 days/year and up to 40 hours Work/Personal/Family Time/year.