BENGALURU · FULLTIME
AI Engineer with Java
NTT DATA BUSINESS SOLUTIONS
Bengaluru · onsite · Posted 50d ago
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Undisclosed2–4 yrsfulltimeBengaluru
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Section · 01
About this role
Job Summary
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.
- 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.
- Experience developing AI orchestration pipelines or knowledge graphdriven 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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Section · 02
Skills
AIOpsCI/CD Pipelinesai developmentAzure Aiapisai servicesapi designai technologiesApp Servicesai engineerazure mlAi DeploymentAzure OpenAIBankingautonomous systemsArchitectureApplication DevelopmentMicrosoft AzureArtificial Intelligence
Section · Company
About NTT DATA Business Solutions
NTT DATA BUSINESS SOLUTIONS
IT Services & Consulting
4k+
employees
1989
37 years old
Hyderabad / Secunderabad, Telangana
India
About
NTT DATA Business Solutions helps clients innovate and transform through expert SAP solutions, advisory, implementation, and managed services.
Industries
IT Services & Consulting
Employee ratings
2,105 reviews
4.1/ 5
Culture
4.0
Career growth
3.5
Work-life
4.0
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