Forward deployment engineer-Gen AI

Our challenge:

Seeking a skilled Forward Deployment Engineer (FDE) with expertise in GenAI tools to join our team in Charlotte NC . The successful candidate will lead the deployment, scaling, and optimization of GenAI solutions such as Devin, Claude Code, and Cursor across the engineering teams. This hands-on full-stack engineering role involves building, integrating, and managing AI-powered solutions within enterprise software development lifecycle (SDLC) workflows.

The Role:

Responsibilities:

• Lead end-to-end rollout of Devin, Claude Code, and Cursor across CDXO and Line of Business (LOB) engineering teams.
• Act as hands-on full-stack developers to build and integrate solutions into enterprise SDLC workflows, including CI/CD pipelines, repository management, and APIs.
• Define and execute enterprise rollout strategies, including phased onboarding, scaling models, and adoption plans.
• Partner closely with LOB teams to enhance product delivery lifecycle through the effective utilization of GenAI tools.
• Conduct developer onboarding, training, and enablement sessions, promoting best practices in prompt engineering and workflow integration.
• Monitor tool usage, performance, and efficiency metrics; continuously optimize adoption and outcomes.
• Provide troubleshooting, performance tuning, and scaling support to engineering teams.
• Establish and promote best practices and reusable playbooks for enterprise-wide GenAI adoption.
• Ensure all deployment activities align with governance, security, and compliance standards.
• Successful deployment and scaling of Devin, Claude Code, and Cursor across relevant teams.
• Demonstrable improvements in the product delivery lifecycle, enabling faster development, testing, and remediation cycles through GenAI tools.
• Increased developer productivity and automation outcomes driven by effective GenAI tool utilization.
• Standardized enterprise playbooks and best practices for GenAI adoption across teams.
• Continuous monitoring, reporting, and refinement of adoption metrics, usage efficiency, and value realization.
• Stable, secure, and governed integration of GenAI tools within the enterprise SDLC ecosystem.
• Proactive identification and resolution of adoption gaps, inefficiencies, and scaling challenges.

Requirements:

• Proven experience in full-stack development, ideally within enterprise settings.
• Strong understanding of AI/GenAI tools, deployment strategies, and enterprise workflows.
• Experience with CI/CD pipelines, APIs, and repositories.
• Ability to lead change management, training, and stakeholder engagement.
• Knowledge of security, governance, and compliance standards in large organizations.
• Excellent problem-solving, troubleshooting, and communication skills.

Preferred Skills:

• Experience working in banking or financial services environments.
• Familiarity with banking domain, governance frameworks.
• Advanced knowledge of DevOps, cloud platforms, and automation tools.