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NTT DATA Logo NTT DATA · IT - Software Development

Ai engineer with java

India, Anywhere Employment contract · Job Posted May 06, 2026
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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.

Job Responsibility

  • 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
  • Develop RAG pipelines and LLM-based reasoning components using Java to deliver accurate, context-aware insights grounded in insurance documentation and structured data
  • Build and optimize secure, high-performance RESTful APIs in Java/Spring Boot to interface with generative models, knowledge bases, and insurance core systems
  • Containerize and deploy AI workloads on Microsoft Azure, leveraging Azure OpenAI Service, Azure ML, and App Services for robust scalability, monitoring, and compliance
  • Work closely with data engineers, solution architects, and business analysts to embed AI capabilities within existing insurance ecosystems integrating policy data, claims systems etc

Requirements

  • Advanced proficiency in Java, with strong understanding of concurrency, memory management, and JVM optimization
  • Experience with LangChain4j, Spring AI, Spring Batch, Quarkus for AI application development
  • Demonstrated experience with Gen AI, LLM integration, and Agentic architectures
  • Familiarity with Azure AI ecosystem (Azure ML, Cognitive Search, OpenAI Service)
  • Proficiency in API design, unit testing, and CI/CD pipelines using tools such as Maven, Gradle, or GitHub Actions
  • Strong communication skills and ability to produce technical design documents and architecture diagrams

Nice to have

  • 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
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