Replit Consultant
Role Summary
Lead the adoption of AI-native software engineering practices across the enterprise by helping business and technology teams identify high-value opportunities, redesign development workflows, establish governance, and accelerate software delivery using Replit. Act as the bridge between business stakeholders, engineering teams, architecture, security, and platform teams.
Key Responsibilities
AI Native Transformation
- Drive enterprise adoption of AI Native Engineering practices.
- Assess current software delivery processes and identify AI automation opportunities.
- Develop AI engineering roadmaps aligned with business priorities.
- Define adoption strategy across functions and product teams.
Consulting & Discovery
- Conduct discovery workshops with business and engineering teams.
- Identify candidate applications for AI-assisted modernization.
- Prioritize use cases based on business value and technical feasibility.
- Develop business cases and ROI assessments.
Operating Model
- Define AI-native SDLC processes.
- Establish engineering standards and reusable development patterns.
- Design governance models for AI-generated code.
- Define developer workflows using Replit.
Stakeholder Management
- Work with Product Owners, Engineering Managers, Enterprise Architecture, Security, and Infrastructure.
- Present recommendations to senior leadership.
- Drive organizational change management.
Enablement
- Conduct training sessions.
- Develop best practices.
- Create reusable playbooks.
- Mentor engineering teams.
Required Skills
Technical
- Modern software engineering lifecycle
- Cloud platforms (AWS/Azure/GCP)
- APIs & Microservices
- Git
- CI/CD
- AI-assisted development tools (Replit, GitHub Copilot, Cursor, etc.)
Consulting
- Digital transformation
- Business process analysis
- Enterprise architecture awareness
- Change management
- Agile delivery
AI Knowledge
- LLM fundamentals
- Prompt engineering
- AI governance
- Responsible AI
- Agentic workflows
Experience
- 8–12 years in consulting or technology transformation.
- Experience leading enterprise software modernization initiatives.
- Exposure to AI-assisted development platforms preferred.
- Experience in Life Sciences or regulated industries is an advantage.
Success Metrics
- Enterprise adoption of AI Native Engineering
- Development productivity improvements
- Reduction in software delivery timelines
- Reusable AI development assets created
- Developer adoption and satisfaction
- Business value delivered
Pay: $55.00 - $60.00 per hour
Work Location: Hybrid remote in Avenel, NJ 07001
