GenAI Solution Architect

Job Description

GenAI Solution Architects design scalable artificial intelligence solutions using large language models, retrieval augmented generation, AI agents, cloud platforms, secure integrations, and responsible deployment practices.

Responsibilities

• Design scalable Generative AI solution architectures.
• Develop LLM applications and AI agents.
• Implement Retrieval-Augmented Generation (RAG) pipelines.
• Integrate AI models with enterprise systems.
• Design secure cloud-based AI infrastructure.
• Optimize AI performance, scalability, and costs.
• Evaluate LLM accuracy, security, and reliability.
• Document architecture and technical implementation strategies.

Required Skills

• Generative AI and LLM architecture
• Python programming and AI frameworks
• LangChain, LangGraph, and RAG implementation
• AWS, Azure, or Google Cloud Platform
• Vector databases and prompt engineering
• REST APIs, microservices, and AI security

Note: Salary depends on experience, skills, location, and is paid in local currency (USD).