Senior AI Platform Architect for Autonomous Agents

GFiber; Austin (TX); Sur place; USD 137 000 - 222 000; Plein temps

Résumé du poste

gFiber is seeking a Senior AI Platform Engineer to lead the creation of an AI Developer Platform and scalable AI infrastructure. You will bridge AI architecture and cloud infrastructure, crafting advanced prompt engineering, LLM stacks, and DevOps practices for a robust AI platform across the product suite.

You will design agentic systems, build model gateways, and optimize pipelines while driving automation and engineering excellence. Collaboration across teams is essential for success.

Qualifications

• 8 years setting up SDLC, CI/CD, automation for enterprise applications.
• 5 years as senior platform engineer, architecting and scaling enterprise AI infrastructure.
• 5 years hands-on experience with public cloud and Infrastructure as Code (IaC).
• Experience with Python, Java and GCP infrastructure tools (GKE, CloudRun, CloudFunctions, GCS).

Responsabilités

• Architect and build the Internal AI Developer Platform (IDP) with self-service APIs, SDKs, or Terraform modules.
• Design and build enterprise Model Gateways with unified routing, rate-limiting, load balancing, and telemetry.
• Build and optimize RAG pipelines grounded in internal policies and docs.
• Oversee MLOps & deployment of microservices using GKE, Cloud SQL, and Cloud Build.

Connaissances

Python

Java

CI/CD pipelines

Terraform

Ansible

GCP infrastructure

GKE

Multi-agent systems

MLOps

Formation

Bachelor's degree in Computer Science or related field

Outils

GKE

Cloud Run

Cloud Functions

Cloud SQL

GCS

Terraform

Ansible

Description du poste

gFiber is seeking a Senior AI Platform Engineer to lead the creation of an AI Developer Platform and scalable AI infrastructure. You will bridge AI architecture and cloud infrastructure, crafting advanced prompt engineering, LLM stacks, and DevOps practices for a robust AI platform across the product suite.

You will design agentic systems, build model gateways, and optimize pipelines while driving automation and engineering excellence. Collaboration across teams is essential for success.