Forward Deployment Engineer (FDE) – GenAI / Full Stack

TechDigital

  • Irving, TX
  • 30+ days ago

    Highlights

    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. Role Overview: We are seeking a highly experienced Forward Deployment Engineer (FDE) with strong expertise in GenAI technologies and full-stack development.

    Numbers & Facts

    LocationIrving, TX
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    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 GCP

    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

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