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.
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.
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.
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.
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.

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.
- The final offer will be based on candidate location, skills and qualifications, experience, and aligned with internal pay structures.

Competitive salary and incentives
Paid and unpaid leave
Adaptable work options
Benefits that support your financial security

📌 AI/ML Solution Architect (Bengaluru)
🏢 Hitachi Energy
📍 Bengaluru