Lead GenAI Full-Stack Engineer

Job Description

Job DescriptionJob 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.