Senior AI Platform Engineer

Google Fiber

Senior AI Platform Engineer architecting and deploying AI systems and platforms. Leading AI delivery and ensuring performance for GFiber's Cloud Infrastructure solutions.

Posted 5/19/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $140,000 - $205,500 per yearWebsite

Tech Stack

Tools & technologies

AnsibleCloudGoogle Cloud PlatformJavaKubernetesMicroservicesPythonSDLCSQLTerraform

About the role

Key responsibilities & impact

Architect and build the Internal AI Developer Platform (IDP), abstracting complex GCP AI services (Vertex AI, Agent Engine, Model Garden) into self-service, "paved-path" APIs, SDKs, or Terraform modules that product engineering teams can easily consume without needing deep AI infrastructure expertise
Design and Build enterprise Model Gateways. Must have experience building unified routing layers that manage rate-limiting, load balancing, failovers, and unified telemetry, allowing the platform team to swap underlying models seamlessly without breaking downstream product applications.
Build and optimize RAG (Retrieval-Augmented Generation) pipelines grounded in internal client policies and technical documentation.
MLOps & Deployment: Oversee the deployment of microservices using GKE (Google Kubernetes Engine), Cloud SQL, and Cloud Build, ensuring scalable and reliable AI performance.

Requirements

What you’ll need

Bachelor's degree in Computer Science, a related field, or equivalent practical experience
8 years of experience in setting up SDLC, CI/CD pipelines, automation, troubleshooting, launching and supporting enterprise applications as an individual contributor and in a Lead capacity.
5 years of experience as senior platform engineer, with recent years dedicated to architecting and scaling enterprise AI infrastructure. Demonstrated expertise in building multi-agent systems, workflow automation, and implementing emerging integration frameworks (such as A2A and MCP).
5 years of hands-on experience with public cloud and Infrastructure as Code (IAC).
Experience with Python, Java and GCP infrastructure tools (GKE, CloudRun, CloudFunctions, GCS, etc) and experience with cloud infrastructure management and automation technologies (Terraform, Ansible etc).

Benefits

Comp & perks

Bonus
Cash award
Benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonJavaGCPTerraformAnsibleMLOpsSDLCCI/CDmicroservicesRAG

Soft Skills

leadershiptroubleshootingautomationworkflow automationcommunication

Certifications

Bachelor's degree in Computer Science