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.
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