# Java Tech lead - AI

> Weekday AI · Hyderabad, India · Full-time · Posted 2026-07-15

**Salary:** INR 2,500,000–3,500,000

**Workplace:** on_site

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

## Description

**This role is for one of the Weekday's clients**

**Salary range: Rs 2500000 - Rs 3500000 (ie INR 25-35 LPA)**

Experience: 9+ yrs

Location: Hyderabad, Bengaluru

Job Type: Full-Time

We are seeking an experienced **Java Solution Architect** with expertise in **AI-native architecture** to design and deliver scalable, secure, and cloud-native enterprise applications. The ideal candidate will possess deep knowledge of Java technologies, microservices architecture, and modern cloud platforms, along with hands-on experience building intelligent applications using **Large Language Models (LLMs)**, **Retrieval-Augmented Generation (RAG)**, **Agentic AI frameworks**, and cloud-based AI services.

In this role, you will lead architectural decisions, define technical roadmaps, and collaborate with cross-functional teams to build high-performance, future-ready solutions. You will play a key role in driving architecture governance, mentoring engineering teams, and ensuring best practices across application design, AI integration, scalability, security, and deployment.

## Requirements

### Key Responsibilities

-   Design and architect scalable, secure, and high-performance enterprise applications using Java, Spring Boot, REST APIs, and Microservices.
-   Define end-to-end solution architecture and prepare High-Level Design (HLD) and Low-Level Design (LLD) documentation.
-   Lead technical architecture discussions, design reviews, and governance across multiple engineering teams.
-   Build AI-native solutions leveraging Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Agentic AI frameworks, and intelligent orchestration patterns.
-   Integrate enterprise applications with cloud-based AI services, including Azure AI and Azure OpenAI, to deliver Generative AI capabilities.
-   Design scalable AI solutions with effective context management, memory handling, and prompt orchestration strategies.
-   Collaborate with business stakeholders, product teams, architects, and developers to translate business requirements into robust technical solutions.
-   Mentor engineering teams by providing guidance on architecture, coding standards, design patterns, and software engineering best practices.
-   Conduct architecture and code reviews to ensure solution quality, performance, security, and maintainability.
-   Drive DevOps adoption by implementing CI/CD pipelines, automated deployments, and cloud-native delivery practices.
-   Ensure adherence to enterprise architecture standards, security guidelines, and scalability requirements throughout the development lifecycle.

### What Makes You a Great Fit

-   9+ years of experience in software development, with significant experience designing enterprise-scale applications and distributed systems.
-   3–5 years of experience as a Solution Architect or Technical Architect leading enterprise application architecture across cloud and on-premises environments.
-   Strong expertise in **Java**, Spring Boot, REST APIs, Microservices, Spring Batch, and enterprise application development.
-   Hands-on experience building AI-native applications using **LLMs**, **RAG**, Agentic AI frameworks, AI memory management, and Generative AI solutions.
-   Experience integrating Azure AI services, including Azure OpenAI, into enterprise applications.
-   Strong understanding of software architecture principles, design patterns, scalability, distributed systems, and cloud-native architectures.
-   Experience with DevOps tools, CI/CD pipelines, Git, Maven, and modern software delivery practices.
-   Familiarity with cloud platforms, enterprise security, and application performance optimization.
-   Knowledge of Linux environments, deployment automation, and RPM packaging is an added advantage.
-   Excellent analytical, communication, and stakeholder management skills with the ability to influence technical decisions.
-   Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
-   A collaborative leader with a passion for innovation, technical excellence, and building intelligent, scalable enterprise solutions.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/027A3681CF/apply)

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