Pay · estimate~$145k – $195kMarket rate · not set by employer
PostedNov 15, 2026
LevelMid level
In short
We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions.
PYTHONAWSAZUREGCPDOCKER
📋 About the job
📈
Experience10+ Years
Job Title: GenAI Architect Location: New York City, NY (Onsite/Local Candidates Preferred)
Visa: Open to All Visa Types
🏢Job Summary
We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, and cloud-based AI architectures.
The candidate will be responsible for translating business requirements into scalable, secure, and production-ready AI solutions while collaborating closely with business stakeholders, data scientists, and engineering teams.
✅Key Responsibilities
✅Design and architect enterprise-grade Generative AI solutions leveraging LLMs, RAG pipelines, and agentic AI frameworks.
✅Lead the development and implementation of scalable AI applications and intelligent automation solutions.
✅Architect end-to-end RAG solutions, including document ingestion, chunking, embedding generation, vector databases, retrieval, and response generation.
✅Design and implement agentic workflows using tools, APIs, orchestration frameworks, and multi-agent architectures.
✅Evaluate and integrate LLM models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems.
✅Leverage cloud platforms such as AWS, Azure, or GCP to build and deploy enterprise AI solutions.
✅Establish best practices for prompt engineering, context management, model evaluation, performance optimization, and LLM observability.
✅Ensure AI solutions meet enterprise requirements for security, scalability, governance, compliance, and responsible AI.
✅Collaborate with business stakeholders and technical teams to identify AI opportunities and translate business use cases into technical architectures.
✅Provide technical leadership, architecture guidance, and mentorship to engineering teams throughout the development lifecycle.
🛠️Required Technical Skills
🔸10+ years of overall experience in software engineering, solution architecture, AI/ML, or related technology domains.
🔸Strong hands-on experience designing and implementing Generative AI and LLM-based applications.
🔸Extensive experience with RAG architecture, vector databases, embeddings, semantic search, and knowledge retrieval systems.
🔸Strong understanding of Agentic AI, AI agents, multi-agent systems, and tool/f…