AI Platform Engineer — Web Experience Leader

jj

Raritan (NJ)

On-site

USD 106,000 - 177,000

Full time

13 days ago
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Job summary

Johnson & Johnson seeks a Lead Platform Engineer — AI Web Experience in Raritan, NJ to drive AI-enabled platform excellence across four to seven delivery squads. You will lead agent-assisted design-to-code, automated reviews, and quality gates, integrating Next.js, Contentstack, AWS, and Apigee into a MACH-based web stack.

The role combines hands-on coding with technical leadership, focusing on durable, reusable AI capabilities and enterprise-grade engineering standards across design,

Qualifications

  • Bachelor’s degree in a 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.
  • Experience building reusable platforms, SDKs and developer ecosystems.

Responsibilities

  • Lead agent-assisted design-to-code and automated code review within CI/CD pipelines.
  • Ensure accessibility conformance with automated detection and remediation.
  • Drive AI-enabled design, requirements drafting, and test traceability across delivery teams.
  • Lead four to seven squads, setting standards and driving adoption of AI-native delivery.
  • Own QA signals: automated checks, evaluation harnesses, and regression gates.

Skills

AI agents
Platform development
Design-to-code automation
Git
Jenkins CI/CD

Education

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field

Tools

Next.js
Contentstack
AWS
Cloudflare
Apigee
Algolia
Absorb LMS
Jenkins CI/CD

Job description

Johnson & Johnson seeks a Lead Platform Engineer — AI Web Experience in Raritan, NJ to drive AI-enabled platform excellence across four to seven delivery squads. You will lead agent-assisted design-to-code, automated reviews, and quality gates, integrating Next.js, Contentstack, AWS, and Apigee into a MACH-based web stack.

The role combines hands-on coding with technical leadership, focusing on durable, reusable AI capabilities and enterprise-grade engineering standards across design,

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