Summary
Highly skilled and hands-on Tech Architect with deep expertise in Java, Spring Boot, Microservices, Cloud Architecture, and Agentic AI solutions.
The ideal candidate will lead the design and delivery of scalable enterprise applications while driving AI-powered transformation initiatives using LLMs, AI agents, RAG frameworks, and orchestration platforms.
Key Responsibilities
- Architecture & Design
- Design and implement enterprise-grade applications using Java, Spring Boot, and Microservices architecture.
- Define solution architecture, integration patterns, security standards, and scalability strategies.
- Lead technical design discussions and architecture reviews.
- Establish best practices for coding, testing, CI/CD, and cloud-native development.
Agentic AI & Generative AI
- Architect and implement Agentic AI solutions leveraging:
- Azure OpenAI / OpenAI
- LangGraph, LangChain, Semantic Kernel
- Multi-Agent frameworks
- RAG (Retrieval-Augmented Generation)
- Vector Databases (Pinecone, Azure AI Search, Weaviate, ChromaDB)
- Design autonomous AI workflows for business process automation.
- Develop AI copilots, intelligent assistants, and enterprise knowledge agents.
- Integrate LLM-powered systems with enterprise applications and APIs.
- Implement observability, evaluation, and governance for AI solutions.
Development & Delivery
- Provide hands-on coding support and technical leadership.
- Develop high-performance REST APIs using Spring Boot.
- Architect event-driven solutions using Kafka or RabbitMQ.
- Guide teams through Agile/Scrum delivery methodologies.
- Mentor developers and conduct code reviews.
Technical Skills
- 10+ years of software development experience.
- 5+ years in solution or technical architecture roles.
- Strong expertise in:
- Java 17+/21
- Spring Boot
- Spring Cloud
- Microservices Architecture
- REST APIs
- Hibernate/JPA
- Kafka/Event Streaming
- SQL and NoSQL databases
Agentic AI Skills
- Hands-on experience with:
- Google OpenAI/OpenAI APIs
- LangChain or LangGraph
- Semantic Kernel
- AI Agent orchestration frameworks
- Prompt Engineering
- RAG architectures
- Vector Databases
- AI Evaluation and Monitoring