Forward Deployment Engineer (FDE) GenAI / Full Stack

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, GCP)

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 Wells Fargo.
• 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