Sr. AI Platform Engineer (GCP/Gen-AI)
US client via staffing partner · Scottsdale, Arizona
- Location
- Scottsdale, Arizona · Onsite
- Salary band
- Band not stated
- Type
- Contract
- Level
- Senior
- Work authorization
- Not stated
Stack
GCP · Generative AI · Kubernetes · GKE · Terraform · CI/CD · RAG · OpenAI API · LLM · Vector Search · Embeddings · Prompt Engineering · AI Agents · Prometheus · Grafana · Python · Java · Infrastructure as Code · DevOps · Observability
About the role
Job Title: Sr. AI Platform Engineer (GCP/Gen-AI) Location: Scottsdale, Arizona Duration: 12+ Months Job Contract Job Type: Long Term Contract Note: Onsite Job Opportunity | Local Preferred Job Description: - Overall 10+ Years of experience - We are seeking a highly skilled AI Platform Engineer to design, build, automate, deploy, and support enterprise AI platforms running on Google Cloud Platform (GCP). - 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 GCP. - 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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