> Markdown version of [/jobs/ext/3867251-agentic-ai-architect](https://www.wearedevelopers.com/jobs/ext/3867251-agentic-ai-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic AI Architect - **Company:** Lorven Technologies Inc - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Distributed Systems, Python (Programming Language), OpenAI, Software Engineering, Systems Integration, Enterprise Search, Pinecone, Enterprise Software Applications, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Event Driven Architecture, Information Technology, CrewAI, AutoGen, Data Management, Machine Learning Operations, FAISS, Api Design, Model Context Protocol, Semantic Kernel, Microservices - **Published:** October 22, 2026 - **Apply:** https://www.careerjet.com/jobad/usce721c824019df0f340da2bcdc0da426 ## About the Role * Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Engineering, or a related field, or equivalent experience. * 10+ years of experience in software engineering, AI/ML, or solution architecture. * Strong hands-on experience with Python, Generative AI, Agentic AI, and LLM applications. * Experience with LangChain, Semantic Kernel, AutoGen, CrewAI, or similar agent frameworks. * Strong knowledge of RAG, prompt engineering, embeddings, and vector databases such as FAISS, Pinecone, or Azure AI Search. * Experience with Azure OpenAI, OpenAI, Anthropic, or similar LLM platforms. * Strong experience with AWS, Azure, or GCP cloud platforms. * Knowledge of API design, microservices, distributed systems, and event-driven architecture. * Experience integrating AI solutions with enterprise applications, APIs, CRM, ERP, and data platforms. * Strong understanding of AI security, governance, responsible AI, and data protection. * Experience leading technical teams, defining architecture, and delivering production-ready AI solutions. * Knowledge of Model Context Protocol (MCP), MLOps/LLMOps, and enterprise AI transformation is a plus. * Relevant cloud or AI certifications are preferred.