Replit Consultant

Title: Replit Consultant
Location: REMOTE
Duration: 12+ Months

Skills:
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/Google Cloud Platform)
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

Thanks & Regards,

Naresh

Global IT Family
Email: