# Java Solution Architect - AI solutions

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-07-29

**Salary:** INR 3,000,000–4,500,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟰𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯𝟬-𝟰𝟱 𝗟𝗣𝗔)

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 strong 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.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/A7CE0B4543/apply)

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