Senior AI Platform Engineer: Build Autonomous AI Platforms

gFiber; United States; Remote; USD 137,000 - 222,000; Full time

Job summary

gFiber is seeking a Senior AI Platform Engineer to lead the design and deployment of next-generation AI-powered platforms. You will bridge cutting-edge AI architecture with scalable cloud infrastructure.

You’ll architect IDP, model gateways, and MLOps pipelines, leveraging Vertex AI, GCP services and Terraform to enable product teams. This role emphasizes engineering excellence, automation, and enterprise-grade security across the platform.

Qualifications

• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• 8+ years building enterprise applications and leading teams.
• 5+ years architecting and scaling enterprise AI infrastructure.
• 5 years hands-on experience with public cloud and Infrastructure as Code (IAC).

Responsibilities

• Architect and build the Internal AI Developer Platform (IDP) with self-service APIs and Terraform modules.
• Design and Build enterprise Model Gateways with routing, rate-limiting and telemetry.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Oversee deployment of microservices on GKE, Cloud SQL, and Cloud Build for scalable AI performance.

Skills

CI/CD pipelines

Automation

Cloud platforms

Python

Java

Prompt engineering

Education

Bachelor’s degree in Computer Science or related field

Tools

GKE

Vertex AI

Agent Engine

Model Garden

Terraform

Ansible

Cloud Build

Cloud Run

Cloud Functions

GCS

Job description

gFiber is seeking a Senior AI Platform Engineer to lead the design and deployment of next-generation AI-powered platforms. You will bridge cutting-edge AI architecture with scalable cloud infrastructure.

You’ll architect IDP, model gateways, and MLOps pipelines, leveraging Vertex AI, GCP services and Terraform to enable product teams. This role emphasizes engineering excellence, automation, and enterprise-grade security across the platform.