Enterprise Architect - AI/ML & Digital Platforms

Job Description :

We are looking for a Senior Enterprise Architect with strong expertise in designing scalable enterprise applications and modern cloud-native platforms across multiple technology stacks. The ideal candidate should have deep experience in Cloud (AWS/Azure/GCP), Microservices Architecture, AI/ML ecosystems, and enterprise digital transformation initiatives.

This is a hands-on architecture leadership role requiring strong exposure across backend, frontend, mobile, cloud, DevOps, data, and AI-driven platforms. The candidate will play a key role in defining enterprise architecture strategy, driving innovation, and enabling scalable AI-native engineering practices.

Key Responsibilities :

- Define and drive enterprise architecture strategy across cloud, AI/ML, data, and digital platforms.

- Design scalable, secure, and high-performance applications using Microservices and cloud-native architectures.

- Architect AI/LLM-powered solutions, intelligent automation systems, conversational AI platforms, and enterprise integrations.

- Lead cloud transformation initiatives across AWS/Azure/GCP environments.

- Drive architecture governance, SDLC modernization, DevOps practices, and engineering standards.

- Guide teams on scalable design patterns, observability, security, automation, and performance optimization.

Required Skills :

- Strong expertise in AWS/Azure/GCP cloud platforms and hybrid architectures.

- Hands-on experience with Kubernetes, Docker, Terraform, CI/CD, and cloud-native engineering practices.

- Experience with AI/ML ecosystems, Generative AI, LLM integrations, AI assistants, prompt engineering, and AI-native application development.

- Strong expertise in Python (Django, Flask, FastAPI), Java (Spring Boot), or NodeJS (MERN/MEAN).

- Frontend experience with Angular, React, or VueJS.

- Exposure to mobile technologies such as Flutter, React Native, Kotlin, or Swift.

- Strong understanding of SQL/NoSQL databases, data modelling, schema design, and scalable distributed systems.

- Experience with monitoring, observability, security, and enterprise architecture best practices.

Preferred Background :

- Experience in IoT, Analytics, Enterprise Platforms, AI-first products, or Digital Transformation initiatives.

- Exposure to conversational AI, chatbot memory architecture, AI automation, and large-scale enterprise systems.

- Experience working in Agile or high-ownership engineering environments.