Forward Deployment Engineer FDE GenAI Full Stack

Doist; Irving (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Doist is seeking a Forward Deployment Engineer (FDE) to architect and deploy GenAI-powered solutions across enterprise SDLC workflows. You will collaborate with LOB teams to accelerate product delivery and lead onboarding of AI tools within a fast-paced environment.

Required 12+ years of experience with strong GenAI expertise, including MCP development, and hands-on full-stack capabilities in Java, Spring Boot, React/TypeScript, and Python. Onsite in Irving, TX, five days a week.

Qualifications

• 12+ years of experience required with strong GenAI focus.
• Experience implementing GenAI solutions in enterprise environments.
• Hands-on with MCP development and onboarding GenAI tooling.

Responsibilities

• Design and deploy GenAI-powered solutions.
• Integrate AI tools into enterprise SDLC workflows.
• Partner with LOB teams to accelerate product delivery.
• Lead AI tool onboarding, training, and enablement.
• Establish GenAI best practices and adoption strategies.
• Optimize AI tool performance and workflows.
• Troubleshoot, tune, and scale enterprise AI solutions.

Skills

Java 17 + Spring Boot

React/Angular/TypeScript

Python

GenAI/LLMs

MCP Integrations

RAG/Multi-Agent

Agentic AI

APIs & Distributed Systems

CI/CD Tools

OpenShift/GCP

Governance/Compliance

Autonomous Workflows

Job description

HIRING: Forward Deployment Engineer (FDE) – GenAI / Full Stack

Location: Irving, TX - Onsite 5 Days/Week

Experience: 12+ YOE Mandatory | 14+ YOE Preferred

We are looking for a highly experienced Forward Deployment Engineer (FDE) with strong expertise in Generative AI, Agentic AI, and Full-Stack Development to work closely with enterprise LOB teams and drive AI-powered productivity and SDLC transformation.

Key Skills

• Java 17 + Spring Boot Microservices
• React / Angular / TypeScript
• Python
• GenAI / LLMs / Prompt Engineering
• Devin, Claude Code, Cursor / Copilot
• MCP (Model Context Protocol) Servers & Integrations
• RAG & Multi-Agent Architectures
• Agentic AI & Autonomous Workflows
• APIs, Distributed Systems & Event-Driven Architecture
• CI/CD & Developer Tooling
• OpenShift (OCP) / GCP
• Enterprise Governance & Compliance

Top 3 Must-Haves

1. Advanced Java 17 + Spring Boot Microservices
2. Strong hands-on GenAI experience, including MCP development
3. Ability to work in fast-paced enterprise environments and drive GenAI adoption

Responsibilities

• Design and deploy GenAI-powered solutions
• Integrate AI tools into enterprise SDLC workflows
• Partner with LOB teams to accelerate product delivery
• Lead AI tool onboarding, training, and enablement
• Establish GenAI best practices and adoption strategies
• Optimize AI tool performance and workflows
• Troubleshoot, tune, and scale enterprise AI solutions