Principal, System Architect

Schneider Electric; Hyderabad; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Schneider Electric seeks an experienced Principal Systems Architect to define and guide the development of next‑generation industrial process automation solutions.

The role blends strong system architecture with hands‑on engineering, building proofs‑of‑concepts using embedded Linux, Docker containers, and distributed services, and applying AI to industrial automation where relevant.

Qualifications

• Experience in defining end-to-end architectures for embedded and industrial systems.
• Hands-on capability to build proofs-of-concept and reference implementations.
• Familiarity with distributed services, edge/cloud integration, and industrial communication protocols.

Responsibilities

• Lead system-level design across embedded devices, OS, software apps, networking, edge platforms, and cloud integration.
• Translate customer, product, and business requirements into scalable architectures.
• Define components, interfaces, data flows, deployment models, and integration patterns.

Skills

System architecture

Embedded Linux

Docker

Industrial AI

Prototyping

Requirements translation

Tools

Docker

Job description

Job Summary

We are seeking an experienced and hands‑on Principal Systems Architect to define, validate, and guide the development of next‑generation industrial process automation solutions.

Job Summary

We are seeking an experienced and hands‑on Principal Systems Architect to define, validate, and guide the development of next‑generation industrial process automation solutions.

The successful candidate will combine strong system architecture skills with practical engineering capability. In addition to defining end‑to‑end architectures, this individual will build proof‑of‑concepts, prototypes, and reference implementations using embedded Linux, containerized applications, and distributed software technologies.

The ideal candidate has experience with industrial automation or other mission‑critical systems and can translate business and product requirements into practical, scalable, and maintainable technical solutions. Experience applying AI technologies within industrial automation is highly desirable.

Key Responsibilities

Systems Architecture

• Lead system‑level design across embedded devices, operating systems, software applications, networking, edge platforms, and cloud integration.
• Translate customer, product, and business requirements into scalable and maintainable architectures.
• Define system components, interfaces, data flows, deployment models, and integration patterns.
• Evaluate technology options, perform trade‑off analyses, and recommend practical solutions.
• Address complex system challenges involving performance, scalability, reliability, availability, interoperability, and lifecycle support.
• Develop architecture principles, reference architectures, design patterns, and technical decision records.
• Work with engineering teams to ensure architectural decisions are understood and implemented effectively.

Hands‑On Prototyping and Technical Validation

• Design and develop proof‑of‑concepts, prototypes, and reference implementations to validate architectural approaches.
• Build solutions using embedded Linux, Docker containers, distributed services, and industrial communication technologies.
• Evaluate emerging technologies through rapid experimentation.
• Convert successful prototypes into reusable architecture patterns and implementation guidance.
• Support development teams in resolving complex technical and system integration challenges.

Industrial AI

• Identify opportunities to apply AI and machine learning within industrial automation.
• Evaluate AI technologies for industrial automation use cases.
• Support proof‑of‑concepts that integrate AI capabilities with embedded devices, industrial edge platforms, and automation systems.
• Help define how AI models and services should be deployed across device, edge, on‑premises, and cloud environments.