AI Solution Architect

What you will do

Role Overview

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

• Define end-to-end architecture for AI solutions across domains such as generative AI, predictive analytics, NLP, and computer vision.

• Develop architecture blueprints, reference patterns, and standards for scalable, secure, and reusable AI platforms.

• Ensure alignment between AI solution architecture, enterprise architecture principles, and business objectives.

• Solution Design & Governance

• Lead architecture decisions covering data pipelines, model integration, API design, orchestration, deployment patterns, and observability.

• Establish design governance, conduct architecture reviews, and ensure compliance with security, privacy, and responsible AI requirements.

• Collaboration & Stakeholder Advisory

• Partner with product, engineering, data, and business teams to translate business needs into architecture designs and implementation roadmaps.

• Provide architectural guidance to solution architects, engineers, and project teams throughout the delivery lifecycle.

• Technical Leadership

• Guide best practices for AI/ML engineering, MLOps, model lifecycle management, and platform scalability.

• Drive the adoption of reusable architectural components, design patterns, and engineering standards across AI programs.

What we offer

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

Requirements

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.