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# Java Architect AI

- **Company:** Cloud Rover LLC
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $135,200.0 - $145,600.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Information Engineering, Programming Tools, Python (Programming Language), Machine Learning, Cloud Services, Azure Machine Learning, Enterprise Application Integration, Retrieval-Augmented Generation, Large Language Models, Generative AI, Machine Learning Operations, Virtual Agents, Static Application Security Testing, Dynamic Application Security Testing
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=68b13598f5184386

## About the Role

We are seeking a seasoned Architect to define and govern technology hygiene architecture for enterprise platforms. The role requires expertise in AI/ML, Generative AI, LLMs, RAG, Agentic AI frameworks, cloud platforms, data engineering, MLOps, and enterprise integration patterns.

## Description

* Define architecture standards for security, tech hygiene, and upgrades
 * Architect and implement GenAI, Agentic AI, and AI/ML solutions aligned with business objectives.
 * Design scalable RAG architectures using vector databases, embeddings, and enterprise knowledge sources.
 * Evaluate and select AI/ML platforms, LLMs, frameworks, cloud services, and development tools.
 * Design and approve modernization and upgrade strategies
 * Review designs impacting security posture, upgrades, and platform stability
 * Define approved patterns for handling SAST/DAST risks architecturally
 * Guide teams on long-term sustainability and upgrade compatibility

Mandatory Skills

 * Java Full Stack, Python
 * Generative AI and Large Language Models (OpenAI, Azure OpenAI, Gemini, Claude, etc.)
 * RAG (Retrieval-Augmented Generation)
 * Agentic AI frameworks (LangGraph, LangChain, AutoGen, Semantic Kernel, Microsoft Agent Framework)
 * Vector Databases
 * Cloud Platforms: Azure, AWS, or GCP
 * Machine Learning and Deep Learning fundamentals


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