Hybrid AI Platform Engineer — Multi-Cloud & LLM Ops

Greenberg Traurig, LLP; Charlotte (NC); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Greenberg Traurig, LLP is seeking an AI Platform Engineer to join the Technology Team across multiple offices on a hybrid basis. You will own deployment and lifecycle management of AI models across Azure AI Foundry, AWS Bedrock, and Google Vertex AI, define reusable patterns, and supervise platform infrastructure for AI agents.

Collaborating with Cloud Services, Information Security, and solution teams, you will establish CI/CD, IaC, vector stores, and governance telemetry, while guiding

Qualifications

• Experience deploying AI/ML workloads in multi-cloud environments

Responsibilities

• Manage AI model deployment across Azure, AWS, and Google Cloud

Skills

Azure AI Foundry

AWS Bedrock

Google Vertex AI

Terraform

Docker

Kubernetes

Python

REST API design

CI/CD pipelines

Cloud networking & security

Education

Bachelor’s degree in computer science or related field

7+ years platform/cloud/AI engineering experience

3+ years deploying AI/ML workloads in major cloud

Tools

Terraform

Docker

Kubernetes

CI/CD pipelines

REST APIs

Azure AI Foundry

AWS Bedrock

Google Vertex AI

Job description

Greenberg Traurig, LLP is seeking an AI Platform Engineer to join the Technology Team across multiple offices on a hybrid basis. You will own deployment and lifecycle management of AI models across Azure AI Foundry, AWS Bedrock, and Google Vertex AI, define reusable patterns, and supervise platform infrastructure for AI agents.

Collaborating with Cloud Services, Information Security, and solution teams, you will establish CI/CD, IaC, vector stores, and governance telemetry, while guiding