AI Engineer with Java

NTT DATA, Inc.

Karnataka

Hybrid

INR 1,500,000 - 2,100,000

Full time

2 days ago
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Job summary

NTT DATA is seeking an AI Engineer with Java expertise to design and deploy Gen AI solutions for insurance workflows in a remote India setting. You will leverage LangChain4j, Spring AI, Spring Batch, and Quarkus to deliver autonomous AI-powered processes across claims, underwriting, and customer service.

The role emphasizes API design, JVM optimization, and cloud-native deployment on Azure services, with collaboration across data engineers, architects, and business analysts to ensure scalable

Qualifications

  • Strong expertise in Java, concurrency, and JVM optimization.
  • Experience with Gen AI and agentic architectures.
  • Familiarity with Azure AI services.

Responsibilities

  • 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.

Skills

Advanced Java
LangChain4j
Spring AI
Spring Batch
Quarkus
LLM integration
Azure AI

Tools

Spring Boot
Azure OpenAI

Job description

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,


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:


  • 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 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. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

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