Senior Principal AI Engineer, Enterprise AI Leader

6090-Johnson & Johnson Services Inc. Legal Entity

Titusville (NJ)

On-site

USD 137,000 - 238,000

Full time

3 days ago
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Job summary

Johnson & Johnson Innovative Medicine is recruiting a Senior Principal AI Engineer to lead AI engineering and forward deployed teams in Titusville, NJ or Horsham, PA. You will translate data science opportunities into scalable AI products across marketing, commercial ops, and field engagement, guiding prototypes to production.

This role demands advanced education (PhD or MS with extensive pharma experience), strong software engineering fundamentals, and proven leadership of multidisciplinary

Qualifications

  • Advanced degree with leadership in data science or AI engineering across pharma/healthcare industries.
  • Experience delivering production AI/ML solutions in enterprise environments from problem framing to deployment.
  • Strong software engineering fundamentals: APIs, testing, version control, CI/CD, observability.

Responsibilities

  • Provide hands-on technical leadership for scalable AI and agentic solutions.
  • Bridge Data Science with business stakeholders and engineering teams.
  • Translate requirements into enterprise-ready AI solutions.
  • Lead AI projects from prototype to production deployment and enhancements.
  • Advance reusable AI engineering approaches across brands and markets.
  • Coach and develop Data Scientists and Forward Deployed Engineers.

Skills

Advanced analytics
Data science
AI engineering
Team leadership

Education

Ph.D. with 5+ years
M.S. with 10+ years pharma experience

Tools

APIs
CI/CD
Cloud deployment
AI platforms

Job description

Johnson & Johnson Innovative Medicine is recruiting a Senior Principal AI Engineer to lead AI engineering and forward deployed teams in Titusville, NJ or Horsham, PA. You will translate data science opportunities into scalable AI products across marketing, commercial ops, and field engagement, guiding prototypes to production.

This role demands advanced education (PhD or MS with extensive pharma experience), strong software engineering fundamentals, and proven leadership of multidisciplinary

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