AI Platform Engineer: Multi-Cloud AI & Governance

Greenberg Traurig, LLP; Austin (TX); Hybrid; USD 140,000 - 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, AWS, and Google Vertex AI. You will establish reusable AI architecture patterns, vector stores, and agent infrastructure, working with vendors and internal teams to scale AI solutions.

The role emphasizes governance, cost management, and secure, scalable platform practices within a professional services environment.

Qualifications

• Working knowledge of Azure AI Foundry/Azure OpenAI, AWS Bedrock, and/or Google Vertex AI model deployment and management.
• Proficiency with infrastructure-as-code (Terraform), containers (Docker, Kubernetes), and CI/CD pipelines.
• Strong scripting and development skills in Python and PowerShell, including REST API design and integration.
• Solid understanding of cloud networking, identity, security, and cost-management fundamentals.
• Demonstrated ability to evaluate and manage third-party AI vendors and platform.

Responsibilities

• Manages deployment, versioning, and lifecycle of AI models across multi-cloud environments (Azure, AWS, GCP).
• Designs infrastructure for AI agents, including orchestration frameworks and vector stores.
• Defines reusable AI architecture patterns (RAG, orchestration, prompt management, APIs).
• Provides telemetry, logging, and audit data for AI governance oversight.
• Leads collaborations with vendors and internal teams for proofs of concept and operationalization.
• Establishes CI/CD, environment, and IaC patterns for AI workloads across clouds.
• Authours and maintains platform documentation, reference architectures, and standards.

Skills

Azure AI Foundry

AWS Bedrock

Google Vertex AI

CI/CD pipelines

Python

PowerShell

REST API design

Cloud networking & security

Scripting

Education

Bachelor's degree in computer science or equivalent

Tools

Terraform

Docker

Kubernetes

REST API tooling

Job description

Greenberg Traurig, LLP is seeking an AI Platform Engineer to lead deployment and lifecycle management of AI models across Azure, AWS, and Google Vertex AI. You will establish reusable AI architecture patterns, vector stores, and agent infrastructure, working with vendors and internal teams to scale AI solutions.

The role emphasizes governance, cost management, and secure, scalable platform practices within a professional services environment.