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Experience: 9+ yrs

Location: hyderabad, Bengaluru

Job Type: Full-time

We are looking for an experienced Java Solution Architect to lead the design and governance of scalable, secure, and cloud-native enterprise applications. The ideal candidate will bring deep expertise in Java, Spring Boot, microservices, and enterprise architecture, combined with strong hands-on experience in modern AI-native architecture patternssuch as RAG, LLMs, agentic frameworks, and Generative AI integrations.

Requirements

Key Responsibilities

- Design and own scalable, secure, and resilient Java-based application architectures and microservices

- Define technical architecture for enterprise applications across on-premises and cloud environments

- Create and maintain High-Level Design (HLD) and Low-Level Design (LLD) documentation

- Lead architecture reviews and ensure adherence to engineering, coding, security, and architectural standards

- Provide technical leadership and mentor development and QE teams on architecture and implementation decisions

- Collaborate with onshore client and partner teams to align requirements, priorities, technical solutions, and delivery milestones

- Design and implement AI-native architectures using RAG, embeddings, LLMs, and agentic frameworks

- Integrate Azure OpenAI and other cloud AI services into enterprise applications

- Develop strategies for memory management, context management, and scalability within AI-powered applications

- Evaluate and guide the integration, deployment, and optimisation of Generative AI solutions

- Conduct technical and code reviews across multiple engineering squads

- Drive DevOps automation, CI/CD practices, and reliable deployment processes

- Identify technical risks,



architectural gaps, and opportunities for performance, scalability, and maintainability improvements

- Collaborate across business, engineering, security, and technology teams to ensure end-to-end solution alignment

What Makes You a Great Fit

- 9+ years of software engineering experience, with 13+ years preferred

- 3-5+ years of experience in solution/application architecture, covering both on-premises and cloud environments

- Expert-level proficiency in Java, Spring Boot, REST APIs, and Spring Batch

- Solid experience designing microservices and scalable enterprise applications

- Hands-on experience with AI-native architecture, including RAG, embeddings, LLMs, agentic frameworks, and Generative AI integrations

- Strong experience with Azure OpenAI, cloud AI services, LLM deployment, and GenAI application development

- Experience with model fine-tuning and integrating AI capabilities into enterprise applications

- Strong understanding of HLD, LLD, system design, architecture patterns, and technical governance

- Experience with DevOps and engineering tools including Maven, Git, CI/CD, and Autosys

- Strong understanding of application security, systems development, and enterprise technology architecture

- Excellent problem-solving and analytical skills with the ability to make sound architectural decisions and communicate technical trade-offs

- Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders

- Proven ability to lead architecture discussions, conduct code reviews, and mentor engineering teams

- Experience working with distributed, cross-functional, and client-facing teams

- Knowledge of Linux and RPM packaging is an advantage

- Candidates with proven AI-native architecture experience across RAG, LLMs, and agentic frameworks will be strongly preferred

📌 Java Solution Architect (Hyderabad)
🏢 Weekday AI (YC W21)
📍 Hyderabad