Google Cloud Platform Gemini Enterprise Architect
Quick Overview
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
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