AI Engineer with Java

Req ID: 382536 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AI Engineer with Java to join our team in Remote, Karnātaka (IN-KA), India (IN). AI Engineer (Insurance Domain) Job Description: A highly skilled AI Engineer to develop AI use cases using Gen AI and Agentic AI technologies. The ideal candidate will have deep expertise in Java, enterprise-grade frameworks, and next-generation AI integrations using platforms such as Spring AI, Spring Batch, and Quarkus. This role focuses on designing intelligent, autonomous systems that transform insurance workflows, leveraging Azure-based AI services and scalable Java architectures. Responsibilities : AI & Agentic System Development: Design, implement, and orchestrate Agentic AI systems using LangChain4j, Spring AI, and other JVM-based frameworks to enable autonomous reasoning, decision-making, and task execution across insurance processes such as claims triage, underwriting, and customer service. Generative AI Integration: Develop RAG pipelines and LLM-based reasoning components using Java to deliver accurate, context-aware insights grounded in insurance documentation and structured data. API & Service Engineering: Build and optimize secure, high-performance RESTful APIs in Java/Spring Boot to interface with generative models, knowledge bases, and insurance core systems. Cloud-Native AI Deployment: Containerize and deploy AI workloads on Microsoft Azure, leveraging Azure OpenAI Service, Azure ML, and App Services for robust scalability, monitoring, and compliance. System Integration & Collaboration: Work closely with data engineers, solution architects, and business analysts to embed AI capabilities within existing insurance ecosystems integrating policy data, claims systems etc. Required : Languages & Tools: Advanced proficiency in Java, with strong understanding of concurrency, memory management, and JVM optimization. Frameworks: Experience with LangChain4j, Spring AI, Spring Batch, Quarkus for AI application development. AI Expertise: Demonstrated experience with Gen AI, LLM integration, and Agentic architectures. Cloud Knowledge: Familiarity with Azure AI ecosystem (Azure ML, Cognitive Search, OpenAI Service). Development Practices: Proficiency in API design, unit testing, and CI/CD pipelines using tools such as Maven, Gradle, or GitHub Actions. Collaboration & Documentation: Strong communication skills and ability to produce technical design documents and architecture diagrams. Nice to Haves: Experience developing AI orchestration pipelines or knowledge graph–driven retrieval systems. Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and semantic search indexing. Experience fine-tuning or serving LLMs through Java-based inference layers. Exposure to AIOps practices (e.g., monitoring, retraining workflows). Understanding of core insurance platforms such as Guidewire, Duck Creek, or Sapiens. Interest in open-source AI development within the Java community. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us . NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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