Global AI Platform Engineer: Scale, Secure & Automate

Hitachi, Ltd.

Województwo małopolskie

On-site

PLN 180,000 - 240,000

Full time

7 days ago

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Job summary

Hitachi, Ltd. in Poland seeks an AI Platform Engineer to design, operate and evolve the Global AI Platform, delivering secure, governed access to AI capabilities while meeting performance and cost targets.

You will collaborate with a global team to deploy and improve the platform, using Terraform for IaC and Azure DevOps for CI/CD, while managing Azure Foundry, APIM, and AI gateways to enable scalable AI services.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
5+ years of experience in platform engineering, cloud engineering, or infrastructure roles, preferably with exposure to AI/ML platforms.
Strong hands-on experience with Microsoft Azure, including: Azure AI Foundry, Azure API Management, Azure DevOps, Core Azure networking, Identity and security concept.
Hands-on experience with Infrastructure as Code (Terraform) and multi-environment deployment strategies.
Experience working with AI gateways or API gateway technologies (e.g., Portkey or similar) for managing and governing AI/LLM access.

Responsibilities

Contribute to the design, implementation, and evolution of the Global AI Platform, ensuring scalability, security, and reliability across environments.
Operate and maintain core platform components, including Azure AI Foundry, Azure API Management (APIM), AI gateways (e.g., Portkey), and supporting Azure services.
Monitor platform health, troubleshoot incidents, and resolve operational issues to ensure continuous availability and performance of AI services.
Manage and fulfill platform-related requests such as onboarding new use cases, enabling models, configuring integrations, and managing access controls.
Design and implement infrastructure-as-code (IaC) using Terraform to enable consistent, automated, and repeatable platform deployments.
Develop and maintain CI/CD pipelines using Azure DevOps to support platform configuration, deployment, and lifecycle management.
Define and implement platform governance, including model access policies, guardrails, usage controls, and integration standards.
Enable secure exposure and consumption of AI services through Azure APIM and AI gateways, ensuring proper authentication, authorization, and traffic management.
Collaborate with solution architects, data scientists, and application teams to onboard and support AI use cases aligned with platform standards.