Role & responsibilities

We are seeking a highly experienced Java Architect with AI/GenAI expertise to design and deliver next-generation enterprise applications leveraging Java microservices, cloud-native architecture, and Generative AI technologies. The candidate will drive architecture decisions, define technology roadmaps, and build scalable AI-enabled solutions for enterprise customers. Role :

Key Responsibilities

Architecture & Design

Define end-to-end solution architecture for enterprise-scale applications.

Design microservices-based, event-driven, and API-first architectures.

Lead architecture reviews, technology selection, and governance.

Ensure scalability, security, resiliency, and performance of platforms.

Java Technology Leadership

Architect solutions using Java, Spring Boot, Spring Cloud, REST APIs, Kafka, and distributed systems.

Drive cloud-native adoption using Azure/AWS.

Establish engineering standards, CI/CD practices, and DevSecOps controls.

Mentor development teams and provide technical leadership.

AI / GenAI Responsibilities

Design and implement GenAI-powered enterprise applications.

Build and deploy RAG (Retrieval Augmented Generation) based solutions.

Architect AI agents using LangChain,



LangGraph, CrewAI, AutoGen, or similar frameworks.

Integrate LLMs such as Azure OpenAI, OpenAI, Anthropic, or AWS Bedrock.

Design Vector Database architecture using Pinecone, ChromaDB, FAISS, or Azure AI Search.

Define prompt engineering strategies, evaluation frameworks, and AI guardrails. Drive responsible AI, security, observability, and governance practices.

Mandatory Skills

Core Architecture Skills

Java 17+

Spring Boot / Spring Cloud

Microservices Architecture

REST APIs & API Gateway

Kafka / Event Streaming

Distributed System Design

Design Patterns & Enterprise Architecture

Docker & Kubernetes/OpenShift

CI/CD (Jenkins, GitHub Actions, Azure DevOps)

AI / GenAI Skills

LLM Architecture

RAG Frameworks

Prompt Engineering

LangChain / LangGraph

CrewAI / AutoGen

Vector Databases (FAISS, Pinecone, Chroma)

AI Agent Architecture

Azure OpenAI / AWS Bedrock

Cloud

Azure (Preferred) or AWS

Kubernetes

Serverless Architecture

Monitoring & Observability

Preferred Skills

Python for AI integrations.

Knowledge of AI governance and model lifecycle management.

📌 Software Engineer (Pune)
🏢 Tata Consultancy Services
📍 Pune