Java Tech lead - 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. ### 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…