AI Platform Engineer

Engenious — Poland · Posted ~2 hours ago

Mid Contract

Skills

AI platform engineering Azure Cloud engineering LLM operations Platform administration Automation DevOps LLMs AI platforms Cloud

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Summary ✨ AI‑Generated

A platform engineering role responsible for operating, automating, and evolving AI infrastructure. You will support development teams by maintaining secure and scalable environments for AI solutions.

Highlights

Hands-on opportunity to operate and improve enterprise AI infrastructure with focus on scalability, security, and reliability.

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: Engagement for 3 months, with the possibility of extension.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.