Forward Deployment Engineer (FDE) – Gen AI

REQUIREMENT

Forward Deployment Engineer (FDE) – Gen AI

Location: Charlotte, NC (Hybrid 3 days office in a week)

Locals Highly Preferred

Full time

Need 12 years of Exp.

The Role

Responsibilities:

• Design, develop, and deploy GenAI-powered engineering solutions using Devin/ Claude Code, and Cursor
• Integrate GenAI tools into enterprise SDLC systems, developer platforms, and engineering workflows
• Collaborate with LOB teams and stakeholders to accelerate product delivery and improve engineering effectiveness
• Drive tool adoption, developer enablement, and standardization of best practices
• Optimize the performance, reliability, and efficiency of deployed GenAI solutions
• Provide ongoing support, troubleshooting, enhancements, and operational improvements
• Successful deployment and scaling of GenAI tools across engineering teams in a structured and measurable manner
• Demonstrable improvement in development, testing, debugging, and remediation cycles
• Increased developer productivity, workflow automation, and engineering efficiency
• Standardized, reusable, and widely adopted GenAI playbooks, onboarding models, and best practices
• Ongoing tracking and reporting of adoption metrics, performance trends, and business value realization
• Secure, stable, and governed integration of GenAI tools into enterprise technology ecosystems
• Timely identification and resolution of adoption challenges, workflow friction points, and performance inefficiencies

Requirements:

• Lead the end-to-end rollout and scaling of GenAI tools such as Devin, Claude Code, and Cursor across CDXO and LOB engineering teams
• Act as a hands-on full-stack engineer, building, customizing, and integrating GenAI-powered solutions into enterprise SDLC workflows, including CI/CD pipelines, repositories, APIs, and internal platforms
• Define and execute enterprise-wide rollout strategies, including phased onboarding, deployment plans, support models, and scaling frameworks
• Partner closely with LOB teams, engineering leaders, and platform teams to improve the product delivery lifecycle through effective GenAI adoption
• Conduct developer onboarding, training, and enablement sessions to drive usage, improve proficiency, and promote best practices in prompt engineering and workflow integration
• Monitor tool adoption, usage metrics, productivity gains, and performance outcomes, ensuring continuous optimization and measurable value realization
• Provide hands-on troubleshooting, performance tuning, and scaling support for GenAI tools and integrated workflows
• Establish reusable playbooks, standards, and best practices for sustainable and enterprise-wide GenAI adoption
• Ensure all implementations align with enterprise governance, security, risk, and compliance frameworks
• Identify adoption gaps, technical bottlenecks, and process inefficiencies, and proactively drive improvements in scalability, efficiency, and user experience
• Strong full-stack engineering experience with technologies such as: Java, Python, React / Angular, TypeScript
• Experience building and supporting distributed systems, APIs, event-driven architectures, and microservices
• Hands-on experience with CI/CD pipelines, developer platforms, and software engineering tooling
• Strong understanding of cloud platforms such as OpenShift Container Platform (OCP) and Google Cloud Platform (Google Cloud Platform)
• Experience integrating modern developer tools into enterprise software delivery workflows
• Strong problem-solving skills with the ability to work directly with cross-functional teams in complex enterprise environments
• Excellent communication and stakeholder management skills, with the ability to translate technical capabilities into business impact.

Preferred, but not required:

• Experience driving enterprise adoption of GenAI-enabled developer workflows
• Familiarity with prompt engineering, AI orchestration patterns, and developer productivity measurement
• Experience supporting platform modernization and large-scale transformation initiatives
• Understanding of enterprise governance, security, and compliance considerations for AI-enabled tooling
• Background in developer enablement, field engineering, solutions architecture, or forward deployment roles