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Experience: 12+ yrs

Location: Bengaluru, Hyderabad

Job Type: Full-time

We are seeking an experienced Java Solution Architect to lead the design, development, and governance of scalable, cloud-native enterprise applications. This role is ideal for a seasoned technology leader with deep expertise in Java, Spring Boot, microservices, and modern architecture patterns, complemented by hands-on experience building AI-native solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-based AI services.

As a Java Solution Architect, you will define technical strategy, create scalable application architectures, and guide engineering teams through the complete software development lifecycle. You will collaborate with cross-functional stakeholders to design resilient, secure, and high-performing systems while driving architectural best practices, mentoring development teams, and enabling enterprise adoption of AI-powered capabilities. This role requires a solid balance of technical leadership, solution design expertise, and hands-on architectural execution across cloud and enterprise environments.

Requirements Key Responsibilities

- Design and own scalable, secure, and cloud-native application architectures for enterprise Java-based platforms
- Define microservices architecture, integration patterns, and technical roadmaps aligned with business objectives
- Create and maintain High-Level Design (HLD) and Low-Level Design (LLD) documentation for enterprise solutions
- Lead architecture reviews and ensure adherence to engineering standards, coding practices, and solution governance
- Mentor development and quality engineering teams by providing architectural guidance and technical leadership




- Collaborate with business stakeholders and cross-functional teams to align technical solutions with project priorities and delivery milestones
- Design and implement AI-native architectures incorporating Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Agentic AI frameworks, and intelligent workflows
- Integrate enterprise applications with cloud-based AI services while ensuring scalability, reliability, and security
- Drive DevOps adoption by establishing CI/CD pipelines, deployment automation, and infrastructure best practices
- Conduct code reviews, identify technical risks, and recommend performance, scalability, and reliability improvements across engineering teams

What Makes You a Great Fit

- 12+ years of software engineering experience with extensive expertise in enterprise application architecture and solution design
- Strong hands-on experience designing enterprise systems using Java, Spring Boot, Spring Batch, REST APIs, and microservices architecture
- Proven experience defining scalable cloud-native architectures across on-premises and cloud environments
- Hands-on expertise in AI-native architecture, including RAG, LLMs, Agentic AI frameworks, prompt engineering, and cloud AI integration
- Experience working with Azure cloud services, including Azure OpenAI and enterprise AI deployment strategies
- Strong knowledge of distributed systems, application scalability, security, and performance optimization
- Experience with DevOps tools, CI/CD pipelines, Git, Maven, deployment automation, and modern software delivery practices
- Excellent architectural documentation skills, including HLD, LLD, technical governance, and solution reviews
- Outstanding communication and stakeholder management skills with the ability to influence technical and business teams
- A collaborative leadership style with a passion for mentoring engineers, driving innovation, and delivering enterprise-scale AI-enabled software solutions

📌 Java Solution Architect - AI solutions (Bengaluru)
🏢 Weekday AI (YC W21)
📍 Bengaluru