Forward Deployed Engineer (FDE) Google Cloud & Gemini Enterprise
- Deerfield
- |6 years of exp
- |Full Time
In office - WFH flexibility
Not Available
About the job
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.
