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AI PlatformEngineer
As an AI PlatformEngineer, you are responsible for the design, stability, and continuous evolution of the Global AI Platform and its associated services.
You ensure that the platform provides secure, governed, and reliable access to AI capabilities while meeting the operational, performance, and cost expectations of the business.
You work as part of a global platform team, contributing hands-on to the deployment, operation, and improvement of the AI Platform, collaborating closely with engineering, security, infrastructure, and business stakeholders to enable AI adoption at scale.
How you will make an impact
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.
Your Background
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.
Familiarity with AI platform concepts such as model lifecycle, LLM access control, and guardrails.
More about us
We pride ourselves on offering a holistic range of competitive benefits to support your financial, physical and mental wellbeing and personal development. We want you to truly thrive with us, in work and out.
We can provide more information during the recruitment process.
We are committed to full transparency and compliance with all legal requirements, ensuring that every candidate knows exactly what to expect at each stage of the recruitment process. Once the process is successfully completed, we will share detailed information about financial conditions and benefits with the selected candidate. Before signing the employment contract, you will receive all remaining details of the offer, giving you the time and space to review everything carefully.
*Applicable only for Poland location align with local law regulations
Accessibility and reasonable accommodation
Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.
This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.
Use of Al and automated tools in recruitment
As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.
Background Screening and Security Checks
As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.
For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.
The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.
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