Why This Role Stands Out
You'll thrive as a Forward Deployed Engineer at Zion Cloud Solutions if you're eager to architect and deploy cutting-edge Google Cloud and Gemini Enterprise solutions for major clients, driving their digital transformation and enjoying hybrid flexibility. This role offers significant growth potential and the chance to build impactful, production-ready integrations for a leading Google partner.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Deerfield, IL, United States
Posted
1 week ago
AWSAzureBigQueryComplianceData PrivacyGoogle CloudLLMPython
Job Description
Job Title: Forward Deployed Engineer (FDE) Google Cloud & Gemini Enterprise
Location: Deerfield, IL-Hybrid
Location: Deerfield, IL-Hybrid
Duration: Longterm
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).
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
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
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.
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.
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