Lead GenAI Full-Stack Engineer

Job Title: Lead GenAI Full Stack Engineer

Location: Charlotte, NC

Employment Type: Contract (C2C)

Pay Rate: $70–$75/hr C2C (Lead Candidates)

Job Summary

We are seeking a highly skilled Lead GenAI Full Stack Engineer to lead the enterprise-wide rollout and adoption of Generative AI solutions across engineering teams. The ideal candidate will have strong full-stack development expertise, hands-on experience with modern GenAI tools, and a proven ability to integrate AI capabilities into enterprise software development workflows.

This is a hands-on technical leadership role where you will drive AI-powered developer productivity, implement enterprise AI solutions, and collaborate with cross-functional teams to modernize the software development lifecycle.

Key Responsibilities

Lead the end-to-end implementation and enterprise rollout of Generative AI tools such as Devin, Claude Code, Cursor, GitHub Copilot, and similar developer productivity platforms.

Design and implement scalable AI-enabled development workflows across engineering teams.

Develop and integrate enterprise applications using Java, Python, React/Angular, and TypeScript.

Build and integrate AI capabilities into enterprise SDLC processes, including CI/CD pipelines, code repositories, APIs, and automation workflows.

Define rollout strategies, implementation roadmaps, and onboarding plans for enterprise-wide AI adoption.

Partner with engineering and business teams to improve software delivery using Generative AI technologies.

Conduct developer enablement sessions, technical workshops, and training on AI tools, prompt engineering, and best practices.

Monitor adoption metrics, usage analytics, and platform performance while driving continuous improvement.

Troubleshoot implementation challenges and optimize AI tool performance at scale.

Develop reusable playbooks, standards, and governance models for enterprise AI adoption.

Ensure compliance with enterprise security, governance, and regulatory standards.

Collaborate with cross-functional stakeholders to translate business requirements into scalable technical solutions.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

10+ years of software engineering experience with strong full-stack development expertise.

Proven experience leading enterprise software development initiatives.

Hands-on experience developing applications using:

Java

Python

React or Angular

TypeScript

Strong experience with:

Distributed Systems

Microservices Architecture

Event-Driven Architecture

REST API Development & Integration

Experience implementing and maintaining:

CI/CD Pipelines

Developer Tooling Ecosystems

Experience with cloud platforms such as:

Google Cloud Platform (GCP)

OpenShift (OCP)

Required GenAI Skills

Hands-on experience with enterprise Generative AI tools such as:

Devin

Claude / Anthropic Models

Cursor

GitHub Copilot or similar AI coding assistants

Strong understanding of:

Prompt Engineering

Retrieval-Augmented Generation (RAG)

Agent-Based Workflows

Multi-Agent Systems

Model Context Protocol (MCP)

AI Orchestration & Tool Chaining

Autonomous Agentic Systems

Preferred Qualifications

Experience driving enterprise-wide AI adoption initiatives.

Experience working in regulated enterprise environments with governance and compliance requirements.

Strong leadership and mentoring experience.

Excellent communication and stakeholder management skills.

Experience collaborating with cross-functional engineering and business teams.

Passion for emerging AI technologies and developer productivity improvements.

Required Technical Skills

Java

Python

React

Angular

TypeScript

Microservices

Distributed Systems

Event-Driven Architecture

REST APIs

CI/CD

Git

OpenShift (OCP)

Google Cloud Platform (GCP)

Devin

Claude / Anthropic

Cursor

GitHub Copilot

Prompt Engineering

Retrieval-Augmented Generation (RAG)

Model Context Protocol (MCP)

Agentic AI

Multi-Agent Systems

AI Orchestration

Developer Productivity Tools

Preferred Skills

Enterprise AI Platform Implementation

Software Development Lifecycle (SDLC)

DevOps

Cloud-Native Applications

API Integration

Enterprise Architecture

Technical Leadership

AI Governance

Security & Compliance

Why Join?

Work on cutting-edge enterprise Generative AI initiatives.

Lead AI transformation across large-scale engineering organizations.

Collaborate with highly skilled engineering teams on innovative AI solutions.

Opportunity to shape the future of AI-powered software development within a global enterprise.