GenAI Architect: Azure OpenAI & RAG Lead

Cloud Analytics Technologies, LLC; Charlotte (NC); On-site; USD 180,000 - 240,000; Full time

Job summary

Cloud Analytics Technologies is seeking a Gen AI Architect to lead the design and implementation of enterprise AI/ML solutions using Generative AI and Azure OpenAI services. You will drive architecture, governance, and scalable deployments across data ingestion, model training, and inference pipelines.

The ideal candidate has 10+ years in enterprise AI/ML, deep experience with LLMs, and proficiency with LangChain/LangGraph.

Qualifications

• Proven experience 10+ years leading AI/ML architecture in enterprise environments.
• Experience deploying LLMs and RAG frameworks in production.
• Experience with AI/ML tools such as TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph.
• Knowledge of cloud platforms (AWS, Azure, GCP) for AI deployment.
• Experience developing CI/CD pipelines for AI/ML deployments.

Responsibilities

• Define and drive the AI/ML architecture and roadmap, including GenAI use cases.
• Design end-to-end AI solutions—data ingestion, feature engineering, training, inference, monitoring.
• Lead integration of LLMs and RAG frameworks (LangChain/LangGraph).
• Collaborate with stakeholders to translate requirements into scalable AI solutions.
• Evaluate AI/ML tools and cloud services based on use case needs.
• Ensure governance, security, explainability, and compliance in models.

Skills

Problem solving

Communication

Stakeholder management

Education

Advanced degree

Tools

TensorFlow

PyTorch

Hugging Face

LangChain

LangGraph

Azure OpenAI

AWS / GCP

Job description

Cloud Analytics Technologies is seeking a Gen AI Architect to lead the design and implementation of enterprise AI/ML solutions using Generative AI and Azure OpenAI services. You will drive architecture, governance, and scalable deployments across data ingestion, model training, and inference pipelines.

The ideal candidate has 10+ years in enterprise AI/ML, deep experience with LLMs, and proficiency with LangChain/LangGraph.