Principal Agentic AI Engineer for Biologics Discovery

6084-Janssen Research & Development, LLC Legal Entity

Spring House (PA)

On-site

USD 117,000 - 201,000

Full time

8 days ago
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Job summary

Johnson & Johnson Innovative Medicine seeks a Principal Agentic Workflow & AI Engineer to design and build agentic workflows and orchestration that own the scientific data analysis and secondary processing logic. You will translate priorities into automation and AI roadmaps, and connect automation software, data stores, models, and compute.

You will collaborate across Discovery, Data Science, In Silico Discovery, GenAI, and lab-automation teams to enable closed‑loop feedback so each experimental

Qualifications

  • Advanced degree (Ph.D. preferred) in Computer Science, Engineering, or related field.
  • Experience building scientific workflow orchestration and automation software.
  • Hands-on experience designing real-time data pipelines and integrating heterogeneous data outputs.
  • Experience applying agentic AI and modern LLM-based agents to scientific workflows.

Responsibilities

  • Design and build agentic workflows and orchestration for scientific data analysis and secondary processing.
  • Translate scientific priorities into automation and AI roadmaps; build real-time pipelines connecting software, data stores, models, and compute.
  • Collaborate with Discovery, Data Science, ISD, GenAI, and lab-automation teams to enable closed-loop feedback across the DMTL cycle.
  • Set technical direction and mentor engineers and data scientists across the AI/ML space.

Skills

Agentic workflow design
Real-time data pipelines
GenAI platforms
Technical leadership

Education

Ph.D. preferred

Job description

Johnson & Johnson Innovative Medicine seeks a Principal Agentic Workflow & AI Engineer to design and build agentic workflows and orchestration that own the scientific data analysis and secondary processing logic. You will translate priorities into automation and AI roadmaps, and connect automation software, data stores, models, and compute.

You will collaborate across Discovery, Data Science, In Silico Discovery, GenAI, and lab-automation teams to enable closed‑loop feedback so each experimental

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