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AI Platform Engineer
Job Location:
Job Location:
Scottsdale, AZ - USA
Hourly Salary:
USD 65 - 70
Hourly Salary:
Posted:
9 October 2026 (Yesterday)
Posted:
Application Deadline:
6 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
AI Platform Engineer
Rate :- $65-$70/hr
Location: Scottsdale AZ / Hybrid
Position Overview
We are seeking a highly skilled AI Platform Engineer to design build automate deploy and support enterprise AI platforms running on Google Cloud Platform (Eligible to workP). The ideal candidate will possess strong expertise in Generative AI Kubernetes GKE Terraform CI/CD automation observability production operations and platform engineering.
This is a hands-on engineering role focused on enabling AI/ML and Generative AI solutions through scalable cloud-native platforms automation frameworks and operational excellence.
Key Responsibilities
AI Platform Engineering
Build and support enterprise AI platform capabilities on Eligible to workP.
Create automation solutions that improve platform scalability reliability and operational efficiency.
Generative AI Engineering
Build Retrieval-Augmented Generation (RAG) architectures.
Integrate OpenAI APIs and enterprise LLM services.
Implement vector search embeddings prompt engineering and AI agents.
Kubernetes & Cloud Platform Engineering
Deploy and manage applications on Google Kubernetes Engine (GKE).
Configure Kubernetes deployments services ingress controllers autoscaling ConfigMaps and Secrets.
Infrastructure Automation
Develop Infrastructure as Code using Terraform.
DevOps & CI/CD
Build and maintain CI/CD pipelines.
Automate application testing builds containerization deployments and release validation.
Observability & Reliability
Implement Prometheus and Grafana monitoring solutions.
Create enterprise dashboards alerts and operational intelligence capabilities.
Analyze platform health application performance and operational metrics.
Programming & Automation
Strong Python development experience.
Experience building operational automation.
Working knowledge of Java.
Rate :- $65-$70/hr
Location: Scottsdale AZ / Hybrid
Position Overview
We are seeking a highly skilled AI Platform Engineer to design build automate deploy and support enterprise AI platforms running on Google Cloud Platform (Eligible to workP). The ideal candidate will possess strong expertise in Generative AI Kubernetes GKE Terraform CI/CD automation observability production operations and platform engineering.
This is a hands-on engineering role focused on enabling AI/ML and Generative AI solutions through scalable cloud-native platforms automation frameworks and operational excellence.
Key Responsibilities
AI Platform Engineering
Build and support enterprise AI platform capabilities on Eligible to workP.
Create automation solutions that improve platform scalability reliability and operational efficiency.
Generative AI Engineering
Build Retrieval-Augmented Generation (RAG) architectures.
Integrate OpenAI APIs and enterprise LLM services.
Implement vector search embeddings prompt engineering and AI agents.
Kubernetes & Cloud Platform Engineering
Deploy and manage applications on Google Kubernetes Engine (GKE).
Configure Kubernetes deployments services ingress controllers autoscaling ConfigMaps and Secrets.
Infrastructure Automation
Develop Infrastructure as Code using Terraform.
DevOps & CI/CD
Build and maintain CI/CD pipelines.
Automate application testing builds containerization deployments and release validation.
Observability & Reliability
Implement Prometheus and Grafana monitoring solutions.
Create enterprise dashboards alerts and operational intelligence capabilities.
Analyze platform health application performance and operational metrics.
Programming & Automation
Strong Python development experience.
Experience building operational automation.
Working knowledge of Java.
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Required Experience:
IC
