Java Solution Architect

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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 patterns such 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.
• Strong 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.