AI Platform Engineer – Multi-Cloud (Hybrid)

Greenberg Traurig, LLP; Fort Lauderdale (FL); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Greenberg Traurig, LLP is seeking an AI Platform Engineer to lead the deployment and lifecycle management of AI models across Azure AI Foundry, AWS Bedrock, and Google Vertex AI. You will define reusable AI patterns, manage agent infrastructure, and establish standards for RAG, orchestration, and vector strategies.

You will collaborate with Cloud Services, AI Development, and Information Security, while delivering scalable solutions in a hybrid, office‑based environment.

Qualifications

• Bachelor’s degree in computer science, information technology, or equivalent practical experience.
• 7+ years of experience in platform engineering, cloud solutions, or AI/ML engineering roles.
• 3+ years deploying or operating AI/ML workloads in a major cloud environment.
• Experience with multi-cloud platforms (Azure, AWS, GCP) and AI model deployment.
• Hands-on experience deploying and managing AI/ML or large language models in at least one major cloud.

Responsibilities

• Manages the firm’s AI control plane across multi‑cloud environments (Azure Foundry, AWS Bedrock, Google Vertex AI).
• Designs infrastructure for AI agents, orchestration frameworks, and runtime environments.
• Defines reusable AI architecture patterns including RAG, API design, and vector stores.
• Provides telemetry, logging, and audit data for AI governance oversight.
• Establishes CI/CD, infrastructure‑as‑code patterns, and security alignment for AI workloads.

Skills

Azure AWS GCP multi-cloud

CI/CD pipelines

Python scripting

Infrastructure-as-code

Docker Kubernetes

Technical communication

Time/project management

Education

Bachelor’s degree in computer science or related field

Tools

Terraform

Docker

Kubernetes

REST API design

Job description

Greenberg Traurig, LLP is seeking an AI Platform Engineer to lead the deployment and lifecycle management of AI models across Azure AI Foundry, AWS Bedrock, and Google Vertex AI. You will define reusable AI patterns, manage agent infrastructure, and establish standards for RAG, orchestration, and vector strategies.

You will collaborate with Cloud Services, AI Development, and Information Security, while delivering scalable solutions in a hybrid, office‑based environment.