Platform Engineer (AI)

Quick Facts

• Role: Platform Engineer (AI)

• Focus: Build an Azure-based, production AI platform for secure and scalable GenAI deployment

Description

You will join a team building a modern AI platform that enables safe, scalable, enterprise-compliant deployment of GenAI solutions in an organization. The role focuses on developing shared platform services and components that support product teams, including an AI Gateway, integrations with models and enterprise systems, RAG and AI Agents capabilities, plus security, monitoring/observability, and AI usage governance.

Responsibilities

• Design, build, and evolve a production AI platform in Azure

• Create shared services supporting GenAI solution deployment

• Develop AI Gateway, APIs, and integrations with AI models and enterprise systems

• Implement Azure AI Foundry-based solutions, including RAG and AI Agents

• Automate infrastructure and deployment processes using Terraform/Bicep and CI/CD

• Ensure environment security using Private Endpoints, Managed Identities, SSO, and Entra ID

• Build monitoring, observability, governance, and cost control mechanisms

• Collaborate with architects, product teams, and business stakeholders

• Propose and implement technical improvements for the AI platform

Requirements

• Minimum 7 years of experience in Cloud Engineering, Platform Engineering, or DevOps

• Strong knowledge of Azure

• Practical experience with Azure AI Foundry and GenAI solutions

• Strong Python and REST API knowledge

• Experience integrating enterprise systems and building API services

• Knowledge of Terraform or Bicep and Infrastructure as Code automation

• Experience with CI/CD and container solutions

• Knowledge of API Management, AI Gateway, rate limiting, and access control mechanisms

• Experience with security, networking, observability, and governance

• English proficiency at least B2+