AI Platform Engineer

Engenious; Kraków; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Private Medical Care - INTER Polska

Co-funded Multisport Card

Possible training or certification/sub

Job summary

Engenious is seeking a hands-on AI Platform Engineer to operate, automate, and evolve a secure, scalable enterprise AI Platform in the Azure ecosystem. The role focuses on platform engineering and operations rather than application development, with autonomy in executing technical initiatives.

The ideal candidate will manage Azure AI Foundry, Terraform IaC, CI/CD pipelines via Azure DevOps, and APIM configurations, ensuring reliability and governed access for internal teams building AI solutions.

Qualifications

• Hands-on experience operating enterprise platforms in Microsoft Azure environments.
• Strong experience with Terraform and Infrastructure as Code practices.
• Experience designing and maintaining CI/CD pipelines using Azure DevOps.
• Practical knowledge of Azure API Management (APIM).
• Experience with Azure AI Foundry, Azure OpenAI, or related Azure AI services.

Responsibilities

• AI Platform Operations: Administer and maintain Azure AI Foundry workspaces, projects, model deployments, connections, and platform configurations.
• Manage lifecycle operations for LLMs, embedding models, AI services, and platform environments across development, non-production, and production.
• Support platform scalability, reliability, availability, and operational excellence.
• Troubleshoot platform-level issues and coordinate resolution across multiple Azure services.

Skills

Azure Platform

Terraform

Azure DevOps

APIM

Tools

Azure OpenAI

Azure AI Foundry

Azure API Management

Job description

For our client we are seeking a hands on AI Platform Engineer to join our team as an external contractor. The primary mission of this role is to operate, automate, manage, and evolve our enterprise AI Platform so that internal development teams can rely on a stable, secure, scalable, and well governed environment for building AI solutions. This is a platform engineering and operations role, not an application development position. The ideal candidate is proactive, autonomous, understands cloud platform engineering principles, and can execute technical initiatives with minimal supervision.

Responsibilities

AI Platform Operations

• Administer and maintain Azure AI Foundry workspaces, projects, model deployments, connections, and platform configurations.
• Manage lifecycle operations for LLMs, embedding models, AI services, and platform environments across development, non-production, and production.
• Support platform scalability, reliability, availability, and operational excellence.
• Troubleshoot platform-level issues and coordinate resolution across multiple Azure services.

Infrastructure as Code & Automation

• Develop, maintain, and enhance Infrastructure as Code using Terraform.
• Build and manage reusable infrastructure modules, templates, and deployment patterns.
• Automate environment provisioning, configuration management, and platform operations.
• Ensure consistency and repeatability across environments through automation.

CI/CD & DevOps

• Design, implement, and maintain CI/CD pipelines using Azure DevOps.
• Manage build, release, deployment, validation, and rollback processes.
• Improve deployment reliability through testing, automation, and release governance.
• Promote DevOps best practices across the platform ecosystem.

API Platform & Integration Management

• Operate and maintain Azure API Management (APIM) as a core component of the AI Platform.
• Configure APIs, policies, authentication, authorization, throttling, and routing mechanisms.
• Support secure exposure of AI capabilities to internal development teams.
• Assist in troubleshooting API connectivity, authentication, and integration challenges.

Observability & Monitoring

• Configure and maintain platform-wide logging, monitoring, tracing, and telemetry.
• Build dashboards and reporting for platform usage, performance, adoption, cost, and operational health.
• Monitor platform capacity, quotas, consumption, and service reliability.
• Implement alerting and diagnostics to ensure stable platform operations.

Requirements

• Hands on experience operating enterprise platforms in Microsoft Azure environments.
• Strong experience with Terraform and Infrastructure as Code practices.
• Experience designing and maintaining CI/CD pipelines using Azure DevOps.
• Practical knowledge of Azure API Management (APIM).
• Experience with Azure AI Foundry, Azure OpenAI, or related Azure AI services.
• Understanding of cloud networking, security, identity management, and access control.
• Strong troubleshooting and problem-solving skills.
• Proven ability to work autonomously and manage tasks end-to-end.

What can you expect

• Team of passionate people who love what they do.
• Opportunity to learn and grow.
• Private Medical Care - INTER Polska.
• Co-funded Multisport Card.
• Possible training or certification subsidies.