AI Deployment Engineer with GenAI experience (Contract role on W2 & 1099)

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

Client: Synechron – Wells Fargo

Must Have: GenAI / LLM Experience
 

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)

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.