Forward Deployment Engineer (GenAI / Full Stack) - Only W2

Job Title: Forward Deployment Engineer (FDE) GenAI / Full Stack

Location: Irving, TX (Onsite 5 days/week)

W2 Position

Role Overview:

We are seeking a highly experienced Forward Deployment Engineer (FDE) with strong expertise in GenAI technologies and full-stack development. This role involves working closely with Wells Fargo LOB teams to deploy, integrate, and optimize AI-driven solutions to improve SDLC processes and overall productivity.

Key Responsibilities:

Design, develop, and deploy GenAI-powered solutions using Devin, Claude Code, and Cursor

Integrate GenAI tools into enterprise SDLC workflows (CI/CD and internal platforms)

Partner with Wells Fargo LOB teams to accelerate product delivery and lifecycle improvements

Lead tool onboarding, training, and enablement initiatives

Drive adoption and establish best practices for GenAI usage

Monitor and optimize tool performance, efficiency, and usage

Implement prompt engineering and workflow integration best practices

Provide hands-on troubleshooting, performance tuning, and scaling support

Required Technical Skills:

Strong full-stack experience with Java 17, Spring Boot, React/Angular/TypeScript, and Python

Experience with distributed systems, APIs, event-driven architecture, and microservices

Hands-on experience with CI/CD pipelines and developer tooling

Experience with cloud platforms such as OCP (OpenShift) or Google Cloud Platform

GenAI / LLM Expertise (Must-Have):

Hands-on experience with Devin, Claude (Anthropic), and developer AI tools like Cursor or Copilot

Strong understanding of prompt engineering, RAG (Retrieval Augmented Generation), and agent-based workflows

Experience with multi-agent architectures

Experience with MCP (Model Context Protocol) servers and integrations

Knowledge of agentic services and autonomous AI workflows including orchestration, tool chaining, and decision-driven execution

Top 3 Required Skills:

Advanced Java 17 with Spring Boot microservices development

Strong hands-on GenAI experience including MCP development

Ability to work in fast-paced enterprise environments with high adoption demands

Experience Requirements:

Minimum 14+ years of hands-on experience

Experience working in enterprise environments with governance and compliance requirements

Soft Skills and Expectations:

Strong collaboration with cross-functional and LOB teams

Ability to translate business needs into technical solutions

Ability to operate in fast-paced, evolving environments

Passion for driving productivity improvements through AI enablement

Years of Experience: 14.00 Years of Experience