Job Role -Senior MultiCloud AI Architect / Lead Engineer

Experience Level - 8 to 12 years

Role Overview

We are looking for a seasoned Senior Cloud Application Architect / Lead Engineer with strong hands-on experience across AWS, Azure, and GCP. The role focuses on architecting, developing, and deploying enterprise-grade cloud-native applications, including web and mobile applications, with deep exposure to Kubernetes, ecosystem deployments, and AI-driven application architectures.

The ideal candidate will bring strong expertise in Cloud Infra, particularly for custom applications and database-centric workloads, while also contributing to modern AI/LLM-based solutions.

Key Responsibilities

- Design, develop, and deploy cloud-native applications across AWS, Azure, and GCP.
- Lead application architecture, migration, and modernization initiatives.
- Architect and deploy web and mobile applications with scalability, resiliency, and security best practices.
- Design, implement, and operate containerized platforms using Docker and Kubernetes.
- Deploy, configure, and manage custom applications on Cloud Infra, including integrations with multi-cloud environments.
- Work closely with database teams on DB architecture, performance tuning, and cloud-native DB services.
- Design and implement AI-enabled applications and agent-based architectures.
- Apply Retrieval-Augmented Generation (RAG) patterns in enterprise AI solutions.




- Collaborate with DevOps, Security, and Platform teams to ensure CI/CD, observability, and governance standards.
- Provide technical leadership and mentoring to junior engineers and teams.

Required Technical Skills

Cloud Platforms

- Strong hands-on experience with:
- AWS, Microsoft Azure, and Google Cloud Platform

Application Development

- Experience building and deploying cloud-native web and mobile applications
- Strong understanding of microservices-based architectures

Containers & Orchestration

- Hands-on experience with Docker and Kubernetes
- Experience deploying Kubernetes workloads on cloud

AI & Modern Architectures

- Experience designing AI applications and agent-based architectures
- Hands-on exposure to RAG (Retrieval-Augmented Generation) patterns

Nice to Have / Preferred Skills

- LLM fine-tuning and model optimization experience
- Exposure to vector databases, prompt engineering, and AI frameworks
- Experience in hybrid and multi-cloud integration scenarios

Soft Skills & Expectations

- Solid architecture and problem-solving skills
- Ability to operate effectively in complex enterprise environments
- Excellent communication and stakeholder management skills
- Ownership mindset with the ability to drive end-to-end technical solutions
- Strong mentoring and collaboration skills

📌 Senior Multi Cloud Application Architect (India)
🏢 LTM
📍 India