Forward Deployment Engineer - GenAI / Full Stack

CENTSTONE PARKS, LLC
Charlotte, NC, United States
5 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
$114,400.0 - $124,800.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Application Performance Management Cloud Computing Computer Programming Continuous Integration Cursor Programming Tools Distributed Systems Python (Programming Language) OpenShift Systems Development Life Cycle
+15 more
TypeScript Enterprise Software Applications GitHub Copilot ReactJS Claude Code Multi-Agent Systems Prompt Engineering Generative AI Agentic-AI Event Driven Architecture AngularJS Claude Restful APIs Model Context Protocol Microservices

Job description

We are seeking an experienced Forward Deployment Engineer (FDE) with expertise in GenAI, Full Stack Development, and Enterprise AI Adoption. This is a hands-on engineering role responsible for deploying, integrating, and enabling GenAI solutions across enterprise teams. The ideal candidate will have strong experience with modern AI developer tools, cloud platforms, CI/CD, and full-stack application development., * Design, develop, and deploy GenAI-powered enterprise applications using Devin, Claude Code, Cursor, and other AI developer tools.

  • Integrate GenAI capabilities into enterprise SDLC workflows and CI/CD pipelines.
  • Partner with Line of Business (LOB) teams to accelerate software delivery using AI-driven solutions.
  • Lead GenAI tool onboarding, enablement, and user adoption initiatives.
  • Develop best practices for prompt engineering, workflow automation, and AI-assisted development.
  • Monitor application performance and optimize GenAI tool usage across teams.
  • Troubleshoot deployment issues and support enterprise-scale AI implementations.
  • Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.

Requirements

  • 12+ years of Full Stack Development experience.
  • Strong programming experience with:
  • Java
  • Python
  • React or Angular
  • TypeScript
  • Experience with:
  • Distributed Systems
  • REST APIs
  • Event-Driven Architecture
  • Microservices
  • Hands-on experience with:
  • CI/CD Pipelines
  • Developer Tooling
  • Cloud Platforms (OpenShift/OCP, GCP)

Must-Have GenAI Skills

  • Devin
  • Claude (Anthropic)
  • Cursor or GitHub Copilot equivalent
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Agent-Based Workflows
  • Multi-Agent Architectures
  • Model Context Protocol (MCP)
  • Autonomous AI Agents
  • AI Orchestration & Tool Chaining

Preferred Qualifications

  • Experience deploying GenAI solutions in enterprise environments.
  • Strong understanding of governance, compliance, and enterprise security.
  • Excellent communication and stakeholder management skills.
  • Experience enabling engineering teams through AI adoption initiatives.

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