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Description Role Overview: We are looking for an experienced AI Solution Architect Generative AI & Java with 10+ years of experience in enterprise architecture, Java, Generative AI, LLMs, and AI SDLC. The candidate should be capable of defining secure, scalable, production-ready AI solutions and establishing effective AI development, testing, and delivery practices. Requirements Key Requirements - 10+ years of experience in Software Architecture, Solution Architecture, or Enterprise Architecture, with a strong Java/Spring Boot background. - Strong hands-on experience with Generative AI, LLMs, and AI application architecture, particularly Anthropic Claude / Claude API. - Strong and proven understanding of AI Ways of Working and AI SDLC, covering the complete AI lifecycle from AI use-case identification, feasibility, solution design, prompt engineering, development, testing, LLM evaluation, security validation, deployment, observability, monitoring, and continuous improvement. - Ability to define and establish AI engineering practices, standards, governance, and delivery methodologies across development teams. - Experience implementing AI-first development and testing practices, including prompt testing, LLM evaluation, RAG validation, hallucination detection, AI security testing, and regression testing. - Strong knowledge of AI testing and quality engineering, including Claude response evaluation, prompt injection testing, guardrail validation, accuracy, relevance, performance, and reliability testing. - Experience with RAG, Vector Databases, AI Agents, Tool/Function Calling, and Prompt Engineering. - Experience integrating AI capabilities with Java, Spring Boot, Microservices, REST APIs, and event-driven architectures. - Knowledge of AI Security, Responsible AI, data privacy, governance, and compliance. - Experience with AI/LLM observability, including monitoring quality, latency, token usage, cost, failures, and production performance. - Knowledge of AI development and testing technologies such as Claude API, AWS Bedrock, DeepEval, Ragas, JUnit, Mockito, REST Assured, Postman, and Python. - Strong experience with Agile, DevOps, CI/CD, and working with globally distributed engineering teams. Job responsibilities Key Responsibilities - Define AI architecture, solution patterns, standards, and technical roadmaps. - Establish AI SDLC and AI ways of working covering design, development, testing, evaluation, deployment, monitoring, and continuous improvement. - Design solutions using Generative AI, LLMs, RAG, AI Agents, and AI APIs. - Integrate AI capabilities with Java, Spring Boot, Microservices, APIs, databases, and event-driven platforms. - Evaluate and integrate Anthropic Claude, AWS Bedrock, and other LLM platforms. - Define AI standards for Prompt Engineering, Responsible AI, security, governance, and data privacy. - Define AI testing and evaluation strategies, including accuracy, hallucination, prompt, security, performance, and regression testing. - Establish AI/LLM observability for quality, performance, latency, reliability, and cost. - Provide technical leadership and collaborate with globally distributed Agile and DevOps teams. Mandatory Skills - 10+ years in Software / Solution / Enterprise Architecture. - Strong Java, Spring Boot, REST APIs, and Microservices experience. - Robust knowledge of Generative AI, LLMs, AI Architecture, and AI SDLC. - Experience with AI ways of working, LLM integration, Prompt Engineering, RAG, and AI Agents. - Strong understanding of AI development, AI testing, model evaluation, Responsible AI, security, and governance. - Experience with Agile, DevOps, and CI/CD. AI Development & Testing Technologies Development: Java, Spring Boot, Python, Anthropic Claude, AWS Bedrock, RAG, Vector Databases, AI Agents, MCP, LangChain/LangGraph, Kafka. Testing: JUnit, Mockito, REST Assured, Postman, Prompt Testing, LLM Evaluation, Regression Testing, Performance Testing, Security Testing, DeepEval, Ragas, or similar frameworks. What we offer Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries .
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.