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Weekday, Inc.

Java Tech lead - AI

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In-Office
Hyderabad, Telangana, IND
Expert/Leader
In-Office
Hyderabad, Telangana, IND
Expert/Leader

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Lead design and delivery of AI-native, cloud-native Java enterprise applications. Define HLD/LLD, drive architecture governance, integrate LLMs/RAG/Agentic AI with Azure OpenAI, mentor teams, perform code and architecture reviews, and implement CI/CD and secure, scalable deployment practices.
The summary above was generated by AI

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.


RequirementsKey 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 LLMsRAG, 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.

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