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.