Senior
Hitachi Energy is seeking a highly motivated and experienced AI Architect to define and lead the architecture of enterprise-grade AI solutions. This role requires deep expertise in AI/ML, cloud platforms, data architecture, and solution governance to design scalable, secure, and business-aligned AI platforms and products. You will work closely with product teams, engineering leaders, data scientists, and business stakeholders to translate strategic objectives into robust architecture blueprints and implementation roadmaps.
How you will make an impact
AI Architecture Strategy
Solution Design & Governance
Collaboration & Stakeholder Advisory
Technical Leadership
Your Background
Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field.
8+ years of experience in technology roles, with significant experience in AI/ML solution architecture and enterprise platform design.
Strong expertise in Python, AI/ML frameworks, data architecture, APIs, and system integration patterns.
Hands-on experience with cloud platforms (Azure, AWS, or GCP), MLOps, containerization, and scalable deployment architectures.
Excellent communication and stakeholder management skills, with the ability to influence technical and business decisions.
The minimum salary for this position in the location specified below is as follows:
For Italy Milan: starting from 52 700 Euros gross per year as minimum salary
The final offer will be based on candidate location, skills and qualifications, experience, and aligned with internal pay structures.
This role may be open in multiple locations. If the salary information listed is not applicable for your current home location, salary details relevant to your location will be discussed with you at a later stage.
Our benefit offering is tailored based on your country of employment and generally includes:
Competitive salary and incentives
Well-being and care
Paid and unpaid leave
Flexible work options
Benefits that support your financial security
You will receive more specific information during the recruitment process.
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