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# Lead Agentic AI & Java Integration Consultant

- **Company:** NTT DATA, Inc.
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Business Logic, Databases, Java Platform Enterprise Edition (J2EE), Search Technologies, Software Engineering, Enterprise Software Applications, Large Language Models, Prompt Engineering, Spring-boot, Generative AI, Virtual Agents, Microservices
- **Published:** July 6, 2026
- **Apply:** https://www.juju.com/job/00000000ge8j4j

## About the Role

+ 8+ years of software engineering experience, anchored in enterprise Java and Spring Boot.

 + Deep, hands-on expertise in Agentic AI frameworks (LangChain, LangGraph) and prompt engineering (structured outputs, function calling).

 + Proven experience building and scaling RAG pipelines and vector database integrations.

 + Experience integrating seamlessly with secure API gateways and optimized LLM endpoints.

 + Must be onsite at client in Charlotte, NC at least 3 days/week

 + Demonstrated ability to navigate enterprise security, regulatory constraints, and complex architectures

## Description

+ **Agentic System Orchestration** : Design and coordinate AI agents using LangChain and LangGraph to manage tool calling, memory, control flow, and multi-step reasoning.

 + Java/Spring Boot Integration: Embed GenAI workflows into massive-scale enterprise applications leveraging Java, Spring Boot, APIs, and microservices.

 + **Advanced RAG Pipelines:** Architect robust GenAI patterns including Retrieval-Augmented Generation (RAG), semantic search, and the full embeddings/vector database lifecycle.

 + **Application-Level Guardrails** : Collaborate with the platform team to enforce prompt injection defenses, data privacy constraints, explainability, and Human-in-the-Loop (HITL) approval flows within the business logic.

 + **Evaluation & Operationalization** : Define automated evaluation pipelines using DeepEval (or equivalent) to monitor for accuracy, conceptual drift, and hallucinations at the application tier.

 + **Technical Leadership:** Define GenAI engineering standards for application development and mentor teams on when to apply agent-based approaches versus conventional deterministic services.


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