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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:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Business Logic, Databases, Data Integration, Java Platform Enterprise Edition (J2EE), Search Technologies, Software Engineering, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Spring-boot, Generative AI, Agentic-AI, Prompt Injection, DeepEval, Invoking Functions, Human in the Loop, Microservices
- **Published:** October 26, 2026
- **Apply:** https://www.beyondcharlotte.com/job.asp?id=3468419420&tx=VT6257TTZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## 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.