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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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.