How to apply for AI Architect

About HITACHI ENERGY

Hitachi Digital Services is the digital solutions and transformation arm of Hitachi Energy, focused on advancing sustainable energy systems toward a carbon-neutral future. The company works on projects like future-proofing urban spaces, conserving natural resources, and protecting rainforests. It is people-centric and values life experience, character, and perspective alongside technical skills.

About the role

The AI Architect leads the strategy, architecture, governance, and adoption of enterprise AI, Generative AI, and Agentic AI solutions. This role defines scalable AI platforms, intelligent agent ecosystems, enterprise knowledge architectures, and governance frameworks for secure, trusted, business-aligned AI transformation. It sits within the Cloud & Data Engineering function and is remote in the US.

A typical day

A typical day might involve defining AI reference architectures, reviewing governance frameworks, and collaborating with business and IT teams to align AI initiatives with company goals. You could also assess new AI technologies, especially Microsoft-based, and guide their adoption. Specific daily routines are not described in the job posting, so ask about team structure and typical projects during interviews.

Who HITACHI ENERGY is looking for

• Experience defining enterprise AI strategy, architecture standards, reference architectures, and roadmaps.
• Hands-on expertise architecting and governing AI platforms, with a focus on Microsoft technologies.
• Knowledge of Generative AI and Agentic AI systems, including intelligent agent ecosystems and enterprise knowledge architectures.
• Ability to build governance frameworks that ensure AI solutions are secure, trusted, and aligned with business goals.

Tips for this application

• Highlight specific experience with Microsoft AI platforms and services, as the job explicitly mentions leveraging Microsoft technologies.
• Show how you have defined AI strategy and reference architectures at an enterprise scale, not just implemented models.
• Emphasize any work on governance frameworks for AI, including security, trust, and compliance.
• Connect your AI architecture work to sustainability or energy use cases if possible, given Hitachi Energy's carbon-neutral mission.
• Use the job title 'AI Architect' in your resume and cover letter to match the posting exactly.

What to cover in your cover letter

['Your approach to defining enterprise AI strategy and reference architectures that scale across business units.', 'Specific examples of architecting AI platforms using Microsoft technologies, including Generative AI and Agentic AI.', 'How you have built governance frameworks to ensure AI is secure, trusted, and business-aligned.', "Why you want to apply AI architecture to sustainable energy systems and Hitachi Energy's carbon-neutral goal."]

Research before applying

• Hitachi Digital Services' specific projects and clients in the energy sector, especially those related to AI and data engineering.
• Hitachi Energy's sustainability goals and how AI is currently used in their operations or products.
• Microsoft AI platform capabilities that are relevant to enterprise AI architecture, such as Azure AI services.
• The structure of Hitachi Digital Services' Cloud & Data Engineering function and how AI architecture fits into it.

Likely interview topics

Based on the job description, expect questions about:

• How you would define an enterprise AI strategy and reference architecture for a global energy company.
• Your experience with Microsoft AI platforms and how you would govern their use across an enterprise.
• Designing intelligent agent ecosystems and enterprise knowledge architectures for AI solutions.
• Building governance frameworks for Generative AI and Agentic AI that balance innovation with security and trust.
• How you would align AI architecture with business goals in a company focused on sustainable energy.

Common mistakes to avoid

• Focusing only on model development without addressing enterprise-scale strategy, architecture, and governance.
• Ignoring the Microsoft technology stack mentioned in the job description.
• Not connecting AI architecture experience to business outcomes or sustainability goals.