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Forward Deployment Engineer - Devin/Claude AI with Java Experience

Nexylum Global LLCCharlotte, NC🇺🇸United StatesPosted 26 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Charlotte, NC, United States
Posted
22 hours ago
Java

Job Description

Forward Deployment Engineer - Devin/Claude AI with Java Experience

Introduction:

As a Forward Deployment Engineer for Devin/Claude AI with Java Experience, you will play a crucial role in leading the end-to-end rollout of AI tools across engineering teams. You will be responsible for integrating solutions into enterprise workflows, optimizing tool usage, and driving best practices for prompt engineering and workflow integration. This position requires a deep understanding of Artificial Intelligence, Java, and software development methodologies.

Responsibilities:

  • Lead end-to-end rollout of Devin, Claude Code, and Cursor across CDXO and LOB engineering teams
  • Act as hands-on full-stack developers, building and integrating solutions into enterprise SDLC workflows (CI/CD, repos, APIs)
  • Define and execute enterprise rollout strategies, including phased onboarding and scaling models
  • Partner closely with client teams to improve the overall product delivery lifecycle through effective and optimized utilization of GenAI tools
  • Conduct developer onboarding, training, and enablement sessions, driving best practices for prompt engineering and workflow integration
  • Monitor tool usage, performance, and efficiency metrics, and continuously optimize adoption and outcomes
  • Provide hands-on troubleshooting, performance tuning, and scaling support for engineering teams
  • Establish and promote best practices and reusable playbooks for enterprise-wide GenAI adoption
  • Ensure alignment with client governance, security, and compliance requirements.

Requirements:

  • Successful deployment and scaling of Devin, Claude Code, and Cursor across CDXO and LOB teams
  • Demonstrable improvement in the product delivery lifecycle, including faster development, testing, and remediation cycles through effective GenAI utilization
  • Increased developer productivity and automation outcomes driven by optimized usage of Devin, Claude Code, and Cursor
  • Defined, adopted, and standardized enterprise playbooks and best practices for GenAI usage across teams
  • Continuous monitoring and reporting of adoption metrics, usage efficiency, and value realization
  • Stable, secure, and governed integration of GenAI tools into the enterprise SDLC ecosystem
  • Proactive identification and resolution of adoption gaps, inefficiencies, and scaling challenges

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