Senior AI Engineer – GenAI & Agentic Solutions

Johnson Johnson

Titusville (NJ)

On-site

USD 109,000 - 175,000

Full time

12 days ago
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Job summary

Johnson & Johnson in Titusville, NJ seeks a Senior AI Engineer to design and deploy agentic AI solutions across commercial data science efforts. You will craft generative AI enabled workflows, build end-to-end GenAI products, and translate insights into business actions.

You will collaborate with data scientists, engineers, and business stakeholders to deliver impactful analytics while staying at the forefront of machine learning and AI techniques.

Qualifications

  • Ph.D. or MS with 3+ years in Data Science/AI.
  • Experience with agentic AI and generative AI tech.
  • Proficiency in Python and SQL.
  • Experience with healthcare data and pharma domain.
  • Strong communication with business stakeholders.

Responsibilities

  • Deliver Agentic AI projects using generative AI technologies.
  • Build end-to-end GenAI powered solutions that drive business value.
  • Extract insights from pharmaceutical data and implement model predictions in real-world deliverables.
  • Identify use cases for data science initiatives and steer model creation and testing.
  • Model creation, feature generation, data cleaning, and exploration.
  • Produce reusable code for solutions across brands.
  • Partner with cross-functional teams and vendors to implement data science strategy.
  • Communicate complex findings to business partners and translate insights into actions.

Skills

Python
SQL
LLMs
Langchain
Langgraph
Llamaindex
OpenAI
Azure
AWS Bedrock
GitHub
Communication

Education

Ph.D. or MS in related field

Tools

Langchain
Langgraph
Llamaindex
OpenAI
Azure
AWS Bedrock
GitHub

Job description

Johnson & Johnson in Titusville, NJ seeks a Senior AI Engineer to design and deploy agentic AI solutions across commercial data science efforts. You will craft generative AI enabled workflows, build end-to-end GenAI products, and translate insights into business actions.

You will collaborate with data scientists, engineers, and business stakeholders to deliver impactful analytics while staying at the forefront of machine learning and AI techniques.

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