Java Architect

Tata Consultancy Services; Pune District; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

Tata Consultancy Services in Pune seeks a highly experienced Java Architect with AI/GenAI expertise to design and deliver enterprise applications leveraging Java microservices, cloud-native architecture, and Generative AI technologies.

You will lead architecture decisions, define roadmaps, mentor teams, and ensure security, scalability, and governance across AI-enabled solutions for BFSI or related industries.

Qualifications

• Bachelor's or master's degree in Computer Science or related field
• Strong Java architect with enterprise architecture experience
• Experience leading architecture discussions with customer stakeholders
• Lead AI/GenAI and agentic AI initiatives

Responsibilities

• 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.
• Design GenAI-powered enterprise applications and RAG-based solutions.
• Define prompt engineering strategies, evaluation frameworks, and AI guardrails.
• Drive responsible AI, security, observability, and governance practices.

Skills

Java

Spring Boot

Spring Cloud

REST APIs

Kafka

Distributed systems

Python for AI integrations

Mentoring

Customer-facing skills

Education

Bachelor's/Master's degree in Computer Science

TOGAF, Azure Architect, AWS Architect, or AI certifications

Tools

LangChain

LangGraph

CrewAI

AutoGen

Azure OpenAI

OpenAI

Anthropic

AWS Bedrock

Pinecone

ChromaDB

FAISS

Azure AI Search

Job description

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.

Key Responsibilities

• 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.
• 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

• Spring Boot / Spring Cloud
• REST APIs & API Gateway
• Kafka / Event Streaming
• Distributed System Design

AI / GenAI Skills

• RAG Frameworks
• Prompt Engineering
• LangChain / LangGraph
• CrewAI / AutoGen

Cloud

• Serverless Architecture
• Monitoring & Observability

Preferred Skills

• Python for AI integrations.
• Knowledge of AI governance and model lifecycle management.
• Experience with BFSI domain.
• Exposure to multi-agent systems and autonomous workflows.

Qualifications

• Bachelor's/Master's degree in Computer Science or related field.
• TOGAF, Azure Architect, AWS Architect, or AI certifications preferred.
• Lead architecture discussions with customer stakeholders.
• Convert business requirements into AI-enabled technology solutions.
• Drive innovation through Agentic AI, GenAI, and automation initiatives.
• Create reusable accelerators and reference architectures.
• Enable delivery teams through technical mentoring and governance.

Ideal Candidate Profile

• Strong Java Architect with enterprise architecture experience.
• Hands-on exposure to GenAI/Agentic AI implementations.
• Experience building production-grade AI-powered applications.
• Strong customer-facing and consulting skills.

Domain Preference:

BFSI / Payments / Banking

This version is suitable for Mastercard, banking, and enterprise modernization opportunities and should attract both traditional Java architects and emerging AI solution architects.