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Google Cloud Platform Gemini Enterprise Architect

Fusion Global SolutionsUnited States🇺🇸United StatesPosted 23 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: Google Cloud Platform Gemini Enterprise Cloud Architect


Location: Dallas, TX  (Remote)
Duration: Long Term Contract

Job Summary

We are seeking an experienced Google Cloud Platform Gemini Enterprise Cloud Architect with 12+ years of enterprise IT experience and deep expertise in Google Cloud Platform (Google Cloud Platform), Generative AI, Gemini for Google Cloud, enterprise architecture, and cloud modernization. The ideal candidate will lead the design and implementation of enterprise-scale AI-powered cloud solutions leveraging Google Gemini, Vertex AI, BigQuery, and modern cloud-native services.

This role requires strong architecture skills, hands-on Google Cloud Platform experience, AI solution design, cloud governance, security, networking, and enterprise transformation experience.

 

Responsibilities

  • Design enterprise cloud architecture on Google Cloud Platform.
  • Lead enterprise AI transformation initiatives using Google Gemini.
  • Architect scalable Generative AI solutions utilizing Vertex AI and Gemini APIs.
  • Define enterprise AI governance, security, compliance, and Responsible AI frameworks.
  • Build Retrieval Augmented Generation (RAG) solutions using enterprise knowledge bases.
  • Design Agentic AI workflows and enterprise automation.
  • Integrate Gemini with enterprise applications including Salesforce, SAP, ServiceNow, Oracle, and Microsoft platforms.
  • Design cloud-native microservices using Kubernetes (GKE).
  • Define enterprise networking including Shared VPC, Cloud Interconnect, VPN, Cloud Armor, and IAM.
  • Lead cloud migration and modernization programs.
  • Architect enterprise data platforms using BigQuery, Cloud SQL, AlloyDB, Pub/Sub, and Dataflow.
  • Build CI/CD pipelines using Cloud Build, Terraform, GitHub Actions, and Jenkins.
  • Partner with business stakeholders to identify AI use cases and solution roadmaps.
  • Mentor engineering teams on cloud architecture best practices.

Required Skills

Google Cloud

  • Google Cloud Platform (Google Cloud Platform)
  • Vertex AI
  • Gemini for Google Cloud
  • Gemini Enterprise
  • Gemini APIs
  • AI Studio
  • Model Garden
  • Cloud Functions
  • Cloud Run
  • Cloud Build
  • Cloud Storage
  • BigQuery
  • Dataflow
  • Dataproc
  • Pub/Sub
  • Cloud Composer
  • Cloud SQL
  • AlloyDB

Generative AI

  • Gemini Models
  • Vertex AI
  • Prompt Engineering
  • Function Calling
  • RAG
  • Vector Search
  • Embeddings
  • AI Agents
  • LangChain
  • LangGraph
  • Agent Development Kit (ADK)
  • MCP (Model Context Protocol)
  • Responsible AI
  • Fine-Tuning
  • Safety Filters

Cloud Architecture

  • Enterprise Architecture
  • Solution Architecture
  • Cloud Migration
  • Cloud Governance
  • Multi-region Design
  • Disaster Recovery
  • High Availability
  • Hybrid Cloud
  • Multi-cloud Architecture

Security

  • IAM
  • Cloud Armor
  • Secret Manager
  • KMS
  • VPC Service Controls
  • Organization Policies
  • Security Command Center
  • BeyondCorp

Containers

  • Kubernetes
  • GKE
  • Docker
  • Istio
  • Anthos

DevOps

  • Terraform
  • GitHub Actions
  • Cloud Build
  • Jenkins
  • CI/CD
  • Infrastructure as Code

Programming

  • Python
  • Java
  • Go
  • REST APIs
 

Qualifications

  • 12+ years of IT experience.
  • 6+ years designing enterprise cloud solutions.
  • 5+ years hands-on Google Cloud Platform experience.
  • 3+ years designing Generative AI solutions.
  • Strong experience with Gemini Enterprise and Vertex AI.
  • Experience with enterprise AI governance.
  • Google Professional Cloud Architect certification preferred.
  • Vertex AI certification is a plus.

Preferred Experience

  • Telecom domain (Verizon, AT&T, T-Mobile, Comcast, Charter, etc.)
  • Large enterprise digital transformation
  • Contact Center AI
  • Network Operations AI
  • Customer Support AI
  • Knowledge Management AI
  • AI Copilot implementations 

Skills

Docker
Microservices
Oracle
SQL
BigQuery
Generative AI
GitHub Actions
Google Cloud
Istio
Java
Jenkins
Kubernetes
Python
REST
Terraform

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