Forward Deployed Engineer (FDE) Google Cloud & Gemini Enterprise

Job Title: Forward Deployed Engineer (FDE) Google Cloud & Gemini Enterprise
Company: Zion Cloud Solutions
Location: Deerfiled, IL Hybrid

Position Overview
As a Forward Deployed Engineer (FDE) at Zion Cloud Solutions, you will work directly alongside our most strategic enterprise clients to accelerate their digital transformation. In this highly technical, client-facing role, you will act as the engineering bridge between business reality and cutting-edge technology. You will write code directly within client environments to deploy production-ready cloud infrastructure and drive the adoption of Gemini Enterprise and Google Cloud Platform (Google Cloud Platform).
Key Responsibilities

• Partner Collaboration: Leverage Zion s Google Partner status to deliver high-impact cloud migrations and custom AI implementations.
  
• Enterprise Deployment: Architect and build scalable, secure, and production-ready cloud solutions integrating Gemini Enterprise into complex ecosystems.
  
• Hands-on Engineering: Write high-quality backend code and build the integration pipelines required to move AI prototypes into stable production environments.
  
• Technical Advocacy: Guide client technical leaders through architectural decisions, security compliance, governance, and cloud optimization best practices.
  

Minimum Qualifications

• Experience: 5 6+ years of professional software engineering experience building and deploying enterprise-ready applications and infrastructure.
  
• Cloud Foundations: Deep technical expertise in cloud platforms (Google Cloud Platform preferred, AWS, or Azure) with strong foundations in networking, IAM, security, and CI/CD pipelines.
  
• Programming Skills: Proficiency in at least one modern backend programming language, with a heavy emphasis on Python or Go.
  
• Education: Bachelor s degree in Computer Science, engineering, a related technical field, or equivalent practical experience.
  

Preferred Qualifications

• Data & AI Background: 1 2 years of experience with Data & AI technologies, such as data pipelines (BigQuery, Spark), vector databases, or LLM frameworks.
  
• AI Solutions Experience: Practical understanding of Retrieval-Augmented Generation (RAG) architectures, prompt engineering, or multi-agent systems.
  
• Consultative Delivery: Proven track record of navigating complex enterprise governance and data privacy standards in a consulting or partner-facing capacity.