Job Summary
The Forward Deployment Engineers (FDEs) will act as hands-on full-stack engineers responsible for enabling and scaling GenAI tools such as Devin, Claude Code, and Cursor across enterprise engineering teams. The role will focus on integrating GenAI capabilities into enterprise software development lifecycle workflows, driving adoption, improving developer productivity, and establishing scalable and governed GenAI practices.
Key Responsibilities
• Lead the end-to-end rollout of Devin, Claude Code, and Cursor across CDXO and LOB engineering teams.
• Act as a hands-on full-stack developer, building and integrating solutions into enterprise SDLC workflows, including CI/CD, repositories, and 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, promoting 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.
Required Qualifications
• Experience successfully deploying and scaling Devin, Claude Code, and Cursor across engineering teams.
• Strong hands-on full-stack software development experience.
• Experience integrating software development tools into enterprise SDLC workflows, including CI/CD, repositories, and APIs.
• Demonstrable experience improving product delivery lifecycles through effective GenAI utilization, including development, testing, and remediation cycles.
• Experience driving developer productivity and automation outcomes through GenAI tools.
• Experience developing and standardizing enterprise playbooks and best practices for GenAI usage.
• Experience monitoring and reporting adoption metrics, usage efficiency, and value realization.
• Experience integrating GenAI tools into enterprise environments while maintaining security, governance, and compliance requirements.
• Strong troubleshooting, performance tuning, and scaling skills.
• Strong communication and collaboration skills with the ability to train and enable engineering teams.
• Experience with Java development and enterprise application environments.
