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AI-Native Engineering Enablement Lead — Replit | NJ Hybrid role. | W2 Only.

Xlysi


Job Location:

Jersey, NJ - USA

Monthly Salary: Not provided by the employer
Posted: 15 August 2026 (20 days ago)
Application Deadline: 12 November 2026
Vacancies: 1 Vacancy

Job Summary

Role Summary

Lead enterprise adoption of AI-native software engineering on the Replit platform.

This is a platform enablement and transformation role not a hands-on development role. Focus on adoption governance operating model stakeholder management change management and enablement.

Key Responsibilities
  • Drive enterprise-wide adoption of Replit and AI-native engineering.

  • Define adoption strategy roadmap governance and operating model.

  • Establish standards guardrails quality controls security IP and auditability for AI-generated code.

  • Partner with Engineering Product Architecture Security Infrastructure and senior leadership.

  • Lead change management and build internal AI-native engineering champions.

  • Run discovery workshops and identify high-value AI modernization opportunities.

  • Develop business cases and ROI assessments.

  • Create training playbooks best practices and reusable AI-native development assets.

  • Mentor engineering teams through the adoption process.

Required Skills & Experience
  • 8 years in consulting platform enablement developer platforms or technology transformation.

  • Proven experience driving enterprise platform adoption governance and change management.

  • Strong senior/executive stakeholder management skills.

  • Experience with digital transformation business process analysis and ROI/business cases.

  • Understanding of enterprise architecture and Agile delivery.

  • Strong knowledge of Git CI/CD APIs microservices and AWS/Azure/GCP.

  • Familiarity with Replit GitHub Copilot Cursor or similar AI-assisted development tools.

  • Understanding of LLMs prompt engineering agentic workflows AI governance and Responsible AI.

  • Technical fluency to make architecture and security decisions but deep coding is not required.

  • Life Sciences or other regulated-industry experience is a strong plus.

Success Metrics
  • Enterprise adoption and developer satisfaction.

  • Governance and standards established and followed.

  • Improved software delivery speed and productivity.

  • Reusable AI-native development assets and playbooks.

  • Measurable business value.


Required Experience:

IC


About Company

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Transform your business with our cloud services. We offer digital transformation solutions, software development, and consulting services.

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