Lead AI Platform Engineer, Web Experience

6090-Johnson & Johnson Services Inc. Legal Entity

Raritan (NJ)

On-site

USD 104,000 - 177,000

Full time

4 days ago
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Job summary

Johnson & Johnson is seeking a Lead Platform Engineer — AI Web Experience in Raritan, NJ to lead AI-enabled platform engineering. You will shape design-to-code pipelines, build agent-based tooling, and elevate quality across design, requirements, code, and QA.

This hands-on leadership role emphasizes AI-native delivery and cross-team collaboration. The role requires 7+ years in software engineering, 2+ years with AI agents, and a strong product mindset.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, IT, or a related technical field.
  • 7+ years of software engineering or product experience delivering enterprise-scale digital products.
  • 2+ years developing and using AI agents and orchestration platforms.
  • Demonstrated experience leading large-scale platform modernization initiatives and establishing enterprise engineering standards.
  • Proven track record building reusable platforms, frameworks, SDKs, and developer ecosystems.

Responsibilities

  • Lead agent-assisted implementation and automated code review within Git/Jenkins CI/CD workflows.
  • Apply AI to design-to-code, requirements drafting, and automated test generation.
  • Drive AI capabilities across the web experience stack, including Next.js, Contentstack, AWS, and Apigee.

Skills

AI agents
Platform modernization
Enterprise architecture
Technical leadership

Education

Bachelor’s degree in Computer Science/Engineering/IT or related field

Tools

Git
Jenkins CI/CD

Job description

Johnson & Johnson is seeking a Lead Platform Engineer — AI Web Experience in Raritan, NJ to lead AI-enabled platform engineering. You will shape design-to-code pipelines, build agent-based tooling, and elevate quality across design, requirements, code, and QA.

This hands-on leadership role emphasizes AI-native delivery and cross-team collaboration. The role requires 7+ years in software engineering, 2+ years with AI agents, and a strong product mindset.

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