Senior Architect – Java (Full Stack, AI/GenAI)
About the Role
We are looking for a highly skilled Senior Architect – Java to lead the design and development of next-generation enterprise applications powered by Java, Cloud, Microservices, Full Stack technologies, and Generative AI. This role requires a hands‑on technology leader who can define scalable architectures, drive innovation, mentor engineering teams, and deliver business‑critical solutions leveraging modern AI capabilities.
The ideal candidate will bring deep expertise in enterprise architecture, distributed systems, cloud‑native development, and AI/GenAI integration while collaborating closely with product, engineering, and business stakeholders.
Key Responsibilities
- Define and drive end‑to‑end architecture across frontend, backend, APIs, databases, cloud, and AI components.
- Design and build scalable, secure, and high‑performing applications using Java and Spring Boot.
- Lead architecture and development of microservices‑based enterprise platforms.
- Design and implement AI‑powered enterprise applications leveraging GenAI technologies.
- Identify opportunities to integrate LLMs, AI Agents, RAG frameworks, and intelligent automation into business solutions.
- Integrate enterprise applications with OpenAI, Azure OpenAI, Gemini, Claude, and other AI platforms.
- Establish architecture standards, engineering best practices, and governance frameworks.
- Conduct architecture reviews, code reviews, and technical design workshops.
- Ensure application security, scalability, reliability, observability, and performance.
- Collaborate with Product, Engineering, DevOps, Data, and Business teams to translate business requirements into scalable technical solutions.
- Mentor architects and senior engineers while driving technical excellence across delivery teams.
Required Skills & Expertise
- Spring Boot & Spring Framework
- Spring Security
- RESTful API Design & Development
- Hibernate / JPA
- Apache Kafka or equivalent messaging platforms
Frontend Technologies
- Strong expertise in React.js or Angular
- HTML5 & CSS3
- Frontend architecture and design patterns
- Responsive and scalable UI development
AI / Generative AI (Mandatory)
- Strong understanding of Generative AI, LLMs, and AI‑powered applications
- Experience integrating OpenAI, Azure OpenAI, Gemini, Claude, or similar LLM APIs
- Retrieval‑Augmented Generation (RAG) architectures
- Vector Databases and Semantic Search
- Prompt Engineering and LLM Application Development
- AI Agents / Agentic AI Frameworks
- AI‑powered automation and enterprise AI use cases
- AI Security, Governance, Responsible AI, and Data Privacy
- Integration of AI capabilities within enterprise Java applications
Architecture & Cloud
- Distributed Systems Design
- Design Patterns, SOLID Principles, and Architectural Best Practices
- CI/CD and DevSecOps Practices
- Git and Version Control Systems
Databases
- Strong SQL expertise
- Oracle, PostgreSQL, or MySQL
- MongoDB and NoSQL technologies
- Data Modeling and Optimization
Leadership & Stakeholder Management
- Technical leadership of large engineering teams
- Architecture governance and review processes
- Technical mentoring and coaching
- Strong communication and stakeholder management skills
- Ability to drive strategic technology decisions