Job Title:  Deputy Manager | Java Springboot | Bengaluru | Engineering as a Service/ Operate

Java Solution Architect

Role Summary

Java Solution Architect to define and govern scalable, cloud-native architectures for Edward Jones. The ideal candidate brings expert-level Java and Spring expertise, strong architectural leadership, and increasingly, hands-on experience with AI Native architecture patterns including RAG, LLMs, and cloud AI services.

Key Responsibilities

•   Design and own scalable application architectures and microservices for enterprise Java systems

•   Produce High-Level Design (HLD) and Low-Level Design (LLD) documentation

•   Lead architecture reviews and ensure adherence to coding and architectural best practices

•   Mentor and guide development and QE teams on technical decisions

•   Coordinate with onshore (client/partner) teams to align on priorities, requirements, and milestones

•   Design AI Native architectures including RAG-based embeddings, Agentic frameworks, and LLM integrations

•   Work with Azure cloud AI services for AI integration and deployment

•   Implement and manage memory management strategies for AI-powered applications

•   Conduct and lead code reviews across squads

•   Drive DevOps automation and deployment pipelines

Skills & Experience Required

•   9+ years of software engineering experience; 13+ years preferred

•   3–5 years as an architect on technical design for both on-premises and cloud systems

•   Expert proficiency in Java, Spring Boot, REST APIs, and Spring Batch

•   3+ years of AI Native architecture experience — RAG, LLM deployment, memory management, cloud AI services

•   Hands-on experience with Azure OpenAI, fine-tuning models, and GenAI integrations

•   Strong skills in HLD and LLD, DevOps tooling (Maven, Git, CI/CD, Autosys)

•   Good to have: RPM Packaging and Linux

•   Excellent communication with both technical and non-technical stakeholders

•   Subject matter expert across multiple IS disciplines — business solutions, systems development, security

Note: Candidates with AI Native architecture experience (RAG, LLMs, Agentic frameworks) are strongly preferred.