Why This Role Stands Out
This hybrid role at Nexylum Global LLC offers a unique opportunity to drive innovation by leading the deployment and optimization of cutting-edge GenAI tools, significantly impacting product delivery cycles and developer productivity. You'll thrive here if you're a hands-on, mid-senior engineer passionate about shaping enterprise-wide GenAI adoption and establishing best practices in a collaborative environment. Apply now to be at the forefront of technological advancement!
Quick Overview
Job Description
Role: Forward Deployment Engineer
Location: Charlotte, NC or Dallas, TX (Hybrid- 3 days onsite)
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
Key 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.
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