Gen AI Architect — Enterprise LLM & RAG Solutions (Hybrid)

Cloud BC Labs; Charlotte (NC); Hybrid; USD 140,000 - 230,000; Full time

Job summary

Cloud BC Labs is seeking a Gen AI Architect in Charlotte, NC, hybrid role to design scalable, secure GenAI solutions for enterprise applications.

The ideal candidate will master Generative AI, LLMs, cloud platforms (AWS/Azure/GCP), RAG, prompt engineering, embeddings, and AI agent frameworks, and will lead architecture reviews, mentorship, and governance for responsible AI. You will collaborate with data engineers to leverage data and optimize performance and cost.

Qualifications

• Strong expertise in Generative AI, LLMs, and AI architecture.
• Experience with cloud platforms (AWS/Azure/GCP) and RAG pipelines.
• Knowledge of embeddings, vector databases, and AI agent frameworks.
• Ability to design secure, scalable GenAI solutions for enterprises.

Responsibilities

• Design end-to-end Generative AI architecture for enterprise apps.
• Architect solutions using LLMs, RAG, AI Agents, prompts, embeddings, and vector DBs.
• Evaluate LLMs based on performance, cost, security, latency, and business needs.
• Design scalable RAG pipelines (ingestion, chunking, retrieval, generation).
• Develop AI Agent architectures with tools, workflows, memory, and orchestration.
• Integrate GenAI with enterprise apps, APIs, databases, and cloud services.
• Design architecture for model serving, monitoring, and lifecycle management.
• Establish governance, privacy, security, and compliance practices.

Skills

Generative AI

LLMs

Cloud platforms

RAG pipelines

Prompt engineering

Vector databases

AI agents

Embeddings

AI architecture

Security governance

Job description

Cloud BC Labs is seeking a Gen AI Architect in Charlotte, NC, hybrid role to design scalable, secure GenAI solutions for enterprise applications.

The ideal candidate will master Generative AI, LLMs, cloud platforms (AWS/Azure/GCP), RAG, prompt engineering, embeddings, and AI agent frameworks, and will lead architecture reviews, mentorship, and governance for responsible AI. You will collaborate with data engineers to leverage data and optimize performance and cost.