Hybrid AI Platform Engineer - Multi-Cloud & AI Governance

Greenberg Traurig, LLP; Atlanta (GA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Greenberg Traurig, LLP is seeking an AI Platform Engineer to lead deployment and lifecycle management of AI models across Azure AI Foundry, AWS Bedrock, and Google Vertex AI. The role includes developing reusable AI patterns, managing multi-cloud infrastructure, and collaborating with security and enterprise teams in a hybrid office setting.

You will own CI/CD, agent frameworks, and vector store strategies while driving cost-management and scalability across cloud providers.

Qualifications

• 7+ years in platform engineering, cloud solutions, or AI engineering roles.
• Experience deploying or operating AI/ML workloads in major cloud environments.
• Multi-cloud experience across Azure, AWS, and GCP with model deployment.

Responsibilities

• Manages AI model lifecycle across multi-cloud environments (Azure Foundry, Bedrock, Vertex AI).
• Designs infrastructure for AI agents and orchestration frameworks; supports CI/CD for AI workloads.
• Defines reusable AI architecture patterns (RAG, orchestration, vector stores) and governance metrics.
• Collaborates with security, development, and vendor teams to ensure compliant, scalable deployments.

Skills

Azure Foundry

AWS Bedrock

Vertex AI

AI agent frameworks

Terraform

Docker

Kubernetes

Python

REST API design

Cloud security & cost mgmt

Education

Bachelor's degree in computer science, information technology, or equivalent

Tools

Terraform

Docker

Kubernetes

Job description

Greenberg Traurig, LLP is seeking an AI Platform Engineer to lead deployment and lifecycle management of AI models across Azure AI Foundry, AWS Bedrock, and Google Vertex AI. The role includes developing reusable AI patterns, managing multi-cloud infrastructure, and collaborating with security and enterprise teams in a hybrid office setting.

You will own CI/CD, agent frameworks, and vector store strategies while driving cost-management and scalability across cloud providers.