Architect - Java & Agentic Ai

About the Role

Lead the design and development of a scalable Java-based Agent-to-Agent orchestration platform that dynamically routes user prompts to specialized AI agents and integrates legacy automation. The role combines deep enterprise Java backend expertise with agentic/GenAI system architecture and technical leadership.

Building AI dev tools and agentic systems with LLMs; uses Java-based agent frameworks like LangChain4j for rapid agent orchestration.

Location: Chennai

Type: Full Time, Permanent

Posted: 6 days ago

Category: AI/ML & Data

Vibe Markers: ✨ New

Experience Level: Staff/Principal

Job Description

Role

We are hiring a Lead Java Backend & Agentic AI Architect to design and implement an Agent-to-Agent (A2A) orchestration backend that powers conversational interfaces by routing prompts to specialized AI agents, managing multi-agent workflows, and integrating with legacy automation.

Key Responsibilities

• Architect and implement secure, scalable, low-latency A2A communication and orchestration patterns.
• Develop dynamic, prompt-driven routing logic to interpret user intent and dispatch tasks to appropriate agents.
• Integrate GenAI and agentic frameworks to connect LLMs and external tools, including custom orchestration layers.
• Guide and mentor the development team, produce architectural blueprints, conduct code reviews, and enforce security, compliance, and scalability standards.

Requirements

• Extensive enterprise Java backend experience (Core Java) with strong knowledge of Spring Boot and Spring Cloud.
• Proven background in microservices architecture and asynchronous/event-driven design using technologies such as Kafka or RabbitMQ.
• Experience with Large Language Models (LLMs), prompt engineering, and building autonomous agent workflows; familiarity with Java-based agent frameworks is highly preferred.
• Deep knowledge of API and integration patterns including RESTful APIs, gRPC, and WebSockets for real-time communication.
• Proficiency with containerization and orchestration tools (Docker, Kubernetes), cloud platforms (AWS, GCP, Azure), and CI/CD pipelines.

Technologies Mentioned

Core Java, Spring Boot, Spring Cloud, Kafka, RabbitMQ, LangChain, LangGraph, LangChain4j, LLMs, REST, gRPC, WebSockets, Docker, Kubernetes, AWS, GCP, Azure, CI/CD, MCPs.

Notes

• The description emphasizes senior technical leadership and deep enterprise/backend expertise combined with agentic AI and GenAI experience.

Tech Stack

Core Java, Java, Spring Boot, Spring Cloud, Kafka, RabbitMQ, LangChain, LangGraph, LangChain4j, LLMs, REST, gRPC, WebSockets, Docker, Kubernetes, AWS, GCP, Azure, CI/CD, MCPs, ChatGPT, Claude

Skills

System Architecture, Backend Architecture, Microservices, Asynchronous/Event-driven Design, Prompt Engineering, Agentic AI, API Design, Enterprise Application Integration, Cloud & DevOps, Security & Compliance, Scalability, Technical Leadership, Code Reviews, Team Leadership, Real-time Systems