Role: Forward Deployment Engineer (FDE) – GenAI / Full Stack Architect
Location : Irving TX (Onsite)
Duration: Long term project
Roles & Responsibilities
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
Overview
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.
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: (Any one atleast, 2 is a plus)
o Devin
o Claude / Anthropic models
o Developer tools like Cursor / Copilot-equivalent tools
· Strong understanding of:
o Prompt engineering
o RAG (Retrieval Augmented Generation)
o Agent-based workflows / tool usage
o Multi-agent architectures
o MCP (Model Context Protocol) servers and integrations
o 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
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