| Generative AI Architect Knowledge Graphs & Agentic AI :: Seattle, WA, US at Seattle, Washington, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3002665&uid=c53bdc82a84e4be79a92b7317bbf0d8e From: Mahesh Kumar, Testingxperts [email protected] Reply to: [email protected] Generative AI Architect Knowledge Graphs & Agentic AI Location: Seattle, WA, US Employment Type: Full-Time/Contract In Simple way: We are looking for a senior-level Generative AI Architect who: Has hands-on experience with Knowledge Graphs (Neo4j, Neptune, Stardog, TigerGraph) Has worked on ontology / semantic graphs using OWL, RDF, SPARQL Has built GenAI solutions using LLMs + RAG + Agentic AI Has deployed production AI systems on cloud (AWS / Azure / GCP) Can design architecture end-to-end and guide teams Is comfortable explaining technical solutions to business stakeholders About the Role We are looking for a Generative AI Architect to design and deliver enterprise-grade AI solutions that combine Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI, and Knowledge Graphs. This role is ideal for a hands-on technical leader who can architect scalable GenAI platforms, build ontology-driven knowledge systems, and guide teams from concept to production in cloud environments. What Youll Do Architect & Build Design and scale production-ready GenAI systems on AWS, Azure, or GCP Build and manage Knowledge Graphs using Neo4j, Amazon Neptune, Stardog, or TigerGraph Design ontologies and semantic models using OWL, RDF, SKOS, SPARQL, and tools like Protg or TopBraid Integrate Knowledge Graphs with LLMs to enable context-aware, domain-specific AI responses Architect RAG pipelines using LLMs (OpenAI, Anthropic, Mistral) with vector stores (Pinecone, FAISS, Weaviate) Develop agentic AI systems using LangGraph, CrewAI, AutoGen, or similar frameworks Deploy cloud-native, containerized services using Kubernetes, Docker, ECS/Fargate Lead & Collaborate Lead cross-functional teams delivering end-to-end GenAI + Knowledge Graph solutions Translate business needs into structured, knowledge-driven AI architectures Partner with cloud, data, and platform teams to build reusable AI components Present solution designs and architecture walkthroughs to technical and executive stakeholders Document & Deliver Create architecture diagrams, ontology design guides, and technical documentation Support agile delivery using tools like JIRA or Azure DevOps What Were Looking For Must-Have 10+ years of experience in software or systems architecture Hands-on expertise with Knowledge Graphs & Graph Databases Strong background in ontology modeling & semantic web technologies Proven experience building GenAI systems using LLMs, RAG, and agentic workflows Cloud-native architecture experience on AWS, Azure, or GCP Strong knowledge of Kubernetes, containerization, and DevOps practices Excellent communication and stakeholder-management skills Thanks & Regards, Mahesh Kumar | Recruiter [email protected] linkedin.com/in/mahesh-kumar-025763257 www.testingxperts.com | Keywords: artificial intelligence Washington Generative AI Architect Knowledge Graphs & Agentic AI :: Seattle, WA, US [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3002665&uid=c53bdc82a84e4be79a92b7317bbf0d8e |
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| 10:45 PM 17-Dec-25 |