AI Platform Engineer

Role - AI Platform Engineer W2 only .
Location: SCOTTSDALE, AZ / Hybrid
Duration: 6 months

We are seeking a highly skilled AI Platform Engineer to design, build, automate, deploy, and support enterprise AI platforms running on Google Cloud Platform (Google Cloud Platform). 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 Google Cloud Platform.
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.
Skills: Digital : Python ~ Digital : Google Cloud ~ Digital : Kubernetes ~ Digital: Terraform