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Tier-1 brand and Bengaluru metro increase competition, but senior specialized architect requirements limit applicant pool.
Role requires deep Java backend architecture and AI-native experience, moderately transferable across industries.
Multiple mandatory years, architect experience, and specific Java, Spring, and AI-native skills indicate high strictness.
Design, own and govern scalable, cloud-native Java microservice architectures for enterprise systems, including AI Native architectures with RAG, LLMs, and Azure AI services.
Lead architecture reviews, produce HLD and LLD documents, and ensure adherence to coding and architectural best practices.
Mentor development and QA teams, drive DevOps automation, and coordinate with onshore teams on priorities and milestones.
Minimum 9 years software engineering experience; 13+ years preferred.
3–5 years experience as a solution architect designing both on-premises and cloud systems.
Expert-level proficiency in Java, Spring Boot, REST APIs, and Spring Batch.
Minimum 3 years hands-on experience with AI Native architecture patterns (RAG, LLM deployment, memory management) and Azure cloud AI services.
Experienced architect with proven leadership in designing scalable, cloud-native and AI-integrated Java enterprise applications.
Strong expertise in AI Native architectures including RAG, Agentic frameworks, and cloud AI deployment, particularly with Azure OpenAI.
Ability to bridge technical and non-technical stakeholders while mentoring teams and driving DevOps processes for continuous delivery.