Java Architect AI

Cloud Rover LLC
Charlotte, NC, United States
about 1 month ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$135,200.0 - $145,600.0
Working hours
Regular working hours
Job source

Tech stack

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
+6 more
Large Language Models Generative AI Machine Learning Operations Virtual Agents Static Application Security Testing Dynamic Application Security Testing

Job 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

Requirements

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.

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