Platform Engineer (AI)

Quick Facts

• Role: Platform Engineer (AI)

Description

You will join a team building a modern AI platform that enables secure, scalable, and enterprise-compliant deployment of GenAI solutions in an enterprise environment. The platform engineer will develop shared platform services and components that support product teams in building AI-based solutions, including an AI Gateway, integrations with model and enterprise systems, RAG and AI Agents, plus capabilities for security, monitoring, and governance of AI usage.

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 solutions based on Azure AI Foundry, RAG, and AI Agents
• Automate infrastructure and deployment processes using Terraform/Bicep and CI/CD
• Ensure environment security (Private Endpoints, Managed Identities, SSO, 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
• Very strong knowledge of the Azure platform
• Hands-on experience with Azure AI Foundry and GenAI solutions
• Very strong knowledge of Python and REST API
• Experience integrating enterprise systems and building API services
• Knowledge of Terraform or Bicep and Infrastructure as Code automation
• Experience with CI/CD and container-based solutions
• Knowledge of API Management, AI Gateway, rate limiting, and access-control mechanisms
• Experience in security, networking, observability, and governance
• Very good English (at least B2+)

Benefits

• High technological freedom and real impact on the platform’s architecture and direction