AI Platform Engineer

Diverse Lynx, LLC; Scottsdale (AZ); On-site; USD 83,000 - 90,000; Part time

Job summary

Diverse Lynx LLC seeks an AI Platform Engineer to design, build, automate, deploy, and support enterprise AI platforms on Google Cloud. The role emphasizes Generative AI, Kubernetes, Terraform, CI/CD automation, and observability in a hybrid Scottsdale environment.

Responsibilities include building scalable AI platform capabilities, implementing RAG architectures, and managing cloud-native deployments. Strong Python and Java knowledge is essential for automation and tooling.

Qualifications

• Strong Python development experience.
• Experience building and maintaining CI/CD pipelines.
• Hands-on with Kubernetes and GKE in production.
• Experience with infrastructure as code (Terraform).
• Strong observability and monitoring fundamentals.

Responsibilities

• Build and support enterprise AI platform capabilities on GCP.
• Create automation solutions to improve scalability and reliability.
• Develop RAG architectures and integrate OpenAI APIs.
• Deploy and manage applications on GKE with proper configs and secrets.
• Develop IaC using Terraform and maintain CI/CD pipelines.
• Implement monitoring with Prometheus and Grafana and derive insights.

Skills

CI/CD automation

Observability

Python development

Automation

Cloud platform engineering

Tools

Kubernetes

GKE

Terraform

Prometheus

Grafana

Job description

Role: AI Platform Engineer
Duration: 6 months
Location: SCOTTSDALE, AZ / Hybrid
Type : Contract
Rate: $60 to $65/hr

Job Description:

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.

Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination, based solely on their qualifications, ability, competence and performance.