Contract role on W2 || AI Deployment Engineer with GenAI experience

Position: AI Deployment Engineer
Location: Charlotte, NC (Hybrid 3 days onsite / 2 days remote)
Type: Contract role on W2

If you are comfortable with the role and interested in moving forward, please reply with your confirmation.

Job Summary

We are looking for an experienced AI Deployment Engineer/Lead with 12 13 years of IT experience and a strong client-facing background. The ideal candidate should have proven experience in end-to-end deployment of AI/GenAI applications, including solution design, integration, deployment, and production rollout. The role requires close collaboration with business stakeholders and technical teams to deliver enterprise AI solutions.

Key Responsibilities

• Lead the end-to-end rollout and scaling of GenAI tools (Devin, Claude Code, Cursor) across engineering teams.
• Build and integrate full-stack solutions into enterprise SDLC workflows, including CI/CD pipelines, repositories, and APIs.
• Define and execute enterprise-wide rollout strategies and phased onboarding plans.
• Partner with business and engineering teams to enhance the software delivery lifecycle using GenAI.
• Conduct developer onboarding, training, and enablement sessions focused on prompt engineering and AI workflows.
• Monitor adoption, usage metrics, and tool performance while driving continuous improvements.
• Troubleshoot, optimize, and scale AI-enabled engineering solutions.
• Establish reusable playbooks and best practices for enterprise GenAI adoption.
• Ensure compliance with enterprise governance, security, and regulatory standards.

Required Skills

• Strong Full Stack Development experience with:
• Java
• Python
• React / Angular / TypeScript
• Experience with:
• Distributed Systems
• Microservices and Event-Driven Architectures
• API Design and Integration
• Hands-on experience with:
• CI/CD Pipelines
• Developer Tooling Ecosystems
• Cloud Platforms:
• OpenShift (OCP)
• Google Cloud Platform (Google Cloud Platform)

GenAI / LLM Experience

Hands-on experience with:

• Devin
• Claude / Anthropic Models
• Cursor or similar AI coding assistants (GitHub Copilot, etc.)

Strong understanding of:

• Prompt Engineering
• RAG (Retrieval-Augmented Generation)
• Agent-Based Workflows
• Multi-Agent Architectures
• MCP (Model Context Protocol)
• Agentic AI, Tool Chaining, and Autonomous Workflows

Preferred

• Experience working in enterprise environments with governance and compliance.
• Strong stakeholder communication and collaboration skills.
• Ability to translate business requirements into technical solutions.
• Passion for driving AI adoption and improving developer productivity.