Forward Deployment Engineer - Devin/Claude AI with Java Experience

Delan Associates, Inc

Charlotte (NC)

On-site

USD 140,000 - 210,000

Full time

14 days+
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Job summary

Delan Associates, Inc. is seeking Forward Deployment Engineers to act as hands-on full-stack engineers enabling and scaling GenAI tools (Devin, Claude Code, Cursor) across enterprise engineering teams.

You will lead end-to-end rollouts, build and integrate GenAI-driven solutions into enterprise SDLC workflows (CI/CD, repos, APIs), and drive onboarding and best practices for prompt engineering and adoption.

Qualifications

  • 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

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.

Job description

Job Description:

The Forward Deployment Engineers (FDEs) will act as hands‑on full‑stack engineers responsible for enabling and scaling GenAI tools (Devin, Claude Code, Cursor).

The Role
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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