Enterprise AI Architect for Scalable Platforms

Hitachi Energy Ltd.; Kraków; Hybrid; PLN 250,000 - 400,000; Full time

Benefits offered by this job

Competitive salary and incentives

Well-being and care

Paid and unpaid leave

Flexible work options

Benefits that support financial safety

Job summary

Hitachi Energy Ltd. is seeking a seasoned AI Architect in Kraków to define and lead enterprise AI platform architecture. You will shape end-to-end AI solutions across multiple domains, establish governance, and guide data pipelines, models, and deployment patterns.

In this role you will partner with product, engineering, and business teams to translate objectives into robust roadmaps, promote reusable components, and drive MLOps and scalable deployment practices globally.

Qualifications

• Bachelor’s or Master’s degree in CS, Engineering, Data Science, or related field.
• 8+ years in technology roles with AI/ML solution architecture experience.
• Strong Python and AI/ML frameworks, data architecture, APIs, and integration skills.
• Hands-on cloud experience (Azure/AWS/GCP), MLOps, containerization, scalable deployment.
• Excellent communication and stakeholder management abilities.

Responsibilities

• Define end-to-end AI architecture strategy across domains.
• Lead design governance, data pipelines, APIs, and observability.
• Collaborate with product, engineering, and business teams to translate needs into roadmaps.
• Provide technical leadership on AI/ML engineering and platform scalability.

Skills

AI architecture

Python

Cloud platforms

MLOps

Data architecture

Stakeholder mgmt

Model lifecycle

Education

Bachelor’s or Master’s degree in CS/Engineering/Data Science

Tools

Azure

AWS

GCP

Job description

Hitachi Energy Ltd. is seeking a seasoned AI Architect in Kraków to define and lead enterprise AI platform architecture. You will shape end-to-end AI solutions across multiple domains, establish governance, and guide data pipelines, models, and deployment patterns.

In this role you will partner with product, engineering, and business teams to translate objectives into robust roadmaps, promote reusable components, and drive MLOps and scalable deployment practices globally.