Gen AI Architect: Azure OpenAI, LLMs & RAG Lead

Artifintech; Charlotte (NC); On-site; USD 180,000 - 280,000; Full time

Job summary

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking a Gen AI Architect to lead enterprise AI/ML architecture with a strong focus on Generative AI and Azure OpenAI services. You will design end-to-end AI solutions, covering data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.

The role requires 10+ years of leadership in enterprise AI, expertise with LLMs and RAG, and experience deploying in regulated environments, with a focus on governance,

Qualifications

• 10+ years of experience leading AI/ML architecture in enterprise environments.
• Expertise deploying large-scale AI/ML solutions including LLMs and RAG frameworks.
• Experience with TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph.
• Deep understanding of data workflows, feature engineering, model training and deployment.
• Knowledge of cloud platforms (AWS, Azure, GCP) for AI deployment.

Responsibilities

• Define and drive the AI/ML architecture and roadmap for enterprise use cases.
• Design end-to-end AI solutions covering data ingestion, feature engineering, training, inference, and monitoring.
• Lead integration of LLMs and RAG frameworks and related tooling.
• Collaborate with stakeholders to translate requirements into scalable AI solutions.
• Establish CI/CD pipelines for AI, model versioning, deployment automation, and A/B testing.

Skills

AI strategy

Enterprise leadership

Stakeholder management

Communication

Problem solving

Education

Advanced degree (Ph.D./Master) in CS/DS/AI

Tools

TensorFlow

PyTorch

Hugging Face

LangChain

LangGraph

Job description

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking a Gen AI Architect to lead enterprise AI/ML architecture with a strong focus on Generative AI and Azure OpenAI services. You will design end-to-end AI solutions, covering data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.

The role requires 10+ years of leadership in enterprise AI, expertise with LLMs and RAG, and experience deploying in regulated environments, with a focus on governance,