Role: Forward Deployment Engineer (FDE) – GenAI / Full Stack
Location: Charlotte, NC.
Overview
We are seeking highly skilled Forward Deployment Engineers with deep expertise in Devin and modern GenAI tools to support enterprise-scale rollout and adoption across Wells Fargo. This is a hands-on full-stack engineering role focused on enabling LOB teams to improve the product delivery lifecycle through effective utilization of GenAI tools.
Key Responsibilities
Design, develop, and deploy GenAI-powered solutions using Devin, Claude Code, and Cursor
Integrate GenAI tools into enterprise SDLC workflows (CI/CD, internal platforms)
Partner closely with Wells Fargo LOB teams to accelerate delivery and improve the end-to-end product lifecycle using GenAI capabilities
Lead tool onboarding, training, and enablement, driving adoption and best practices across teams
Monitor and optimize tool usage, efficiency, and performance outcomes
Establish and drive best practices for GenAI usage, including prompt engineering and workflow integration
Provide hands-on troubleshooting, performance tuning, and scaling support
Required Technical Skills
Strong full-stack engineering experience (Java, React/Angular/TypeScript, Python)
Experience with distributed systems, APIs, Event Driven and microservices architecture
Hands-on experience with CI/CD pipelines and developer tooling
Strong understanding of cloud platforms (Ex. OCP, Google Cloud Platform)
GenAI / LLM Expertise (Must-Have)
Hands-on experience with:
Devin
Claude / Anthropic models
Developer tools like Cursor / Copilot-equivalent tools
Strong understanding of:
Prompt engineering
RAG (Retrieval Augmented Generation)
Agent-based workflows / tool usage
Multi-agent architectures
MCP (Model Context Protocol) servers and integrations
Agentic services and autonomous AI workflows, including orchestration, tool chaining, and decision-driven execution across systems
Soft Skills & Expectations
Ability to operate in fast-paced, evolving environments with high adoption demands
Strong collaboration with cross-functional and LOB teams
Ability to translate business needs into technical solutions
Experience working in enterprise environments with governance and compliance requirements
Passion for enabling teams and driving measurable productivity improvements
Roles & Responsibilities
The Forward Deployment Engineers (FDEs) will act as hands-on full-stack engineers responsible for enabling and scaling GenAI tools (Devin, Claude Code, Cursor) across the client.
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 Wells Fargo LOB 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 Wells Fargo governance, security, and compliance requirements
Delivery Expectations
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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