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# Forward Deployment Engineer (FDE) GenAI / Full Stack Architect

- **Company:** Peoplentech Llc
- **Location:** Charlotte, NC, United States
- **Salary:** $166,400.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Cloud Computing, Continuous Integration, Cursor, Programming Tools, Distributed Systems, Event-Driven Programming, Python (Programming Language), Performance Tuning, Systems Development Life Cycle, OpenAI, Microsoft Copilot, TypeScript, ReactJS, Retrieval-Augmented Generation, Large Language Models, Claude Code, Multi-Agent Systems, Prompt Engineering, Break Fix, Generative AI, Agentic-AI, AngularJS, Claude, Google Gemini, Model Context Protocol, Automation Anywhere, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/906d129b-b686-43dc-b034-dd3313c7b78d/forward-deployment-engineer-fde-genai-full-stack-architect

## About the Role

* 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: (Any one atleast, 2 is a plus), * 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

## Description

Hands-on full-stack engineers responsible for enabling and scaling GenAI tools (Claude Code, Cursor, OpenAI, Gemini) across Organization.

 * Lead end-to-end rollout of 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 different Line Of Business 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, We are seeking highly skilled Forward Deployment Engineers with deep expertise in Devin/ ClaudeCode/CursorAI 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., * 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, + 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