AI Architect Austin, TX (Hybrid – 3 days/week) 6 months (Possible extension) Rate: $75/hr c2c (Max) Note: Please ensure that candidates complete the home exercise. Kindly communicate this requirement to the candidates in advance. Principal Architect with Deep AI & Agentic Systems – Detailed JD Principal Architect with deep AI and agentic systems expertise to design and deliver production-grade, server-hosted AI solutions. This role requires a balance of architecture leadership and hands-on engineering, with a strong focus on LLM orchestration, memory management, advanced retrieval (RAG), and enterprise-grade agent workflows. The ideal candidate has proven experience building scalable agentic systems in enterprise environments, not just experimental or IDE-based solutions, and can design systems that integrate business context, code intelligence, and human-in-the-loop workflows. Must-Have Skills Recruiters should screen strongly for the following: 1) Agentic AI / LLM Systems Proven experience building agentic systems that run-in server environments Experience with multi-step orchestration, tool calling, and workflow design Hands-on implementation experience — not just conceptual AI knowledge 2) Memory and Context Management Experience designing short-term and long-term memory for AI systems Understanding of how to manage context across sessions, tasks, and workflows Familiarity with state handling, summarization, persistence, and context optimization 3) Advanced Retrieval / RAG Strong experience with advanced RAG architectures Hands-on work with: Vector databases Graph databases Embeddings and retrieval design Experience with hybrid retrieval patterns and building richer context for AI systems 4) Code Intelligence / Technical Analysis Experience ingesting source code and documents into AI/retrieval workflows Ability to support: impact analysis dependency mapping technical analysis code relationship/call graph understanding Experience with AST parsing using tools such as Tree-sitter or similar 5) Programming / Engineering Depth Strong hands-on experience in: Python or Java Agentic Platforms, RAG/GraphDB, LLMs Caching – near and distributed (Redis ,Apache Ignite etc) API Token management optimization techniques is a plus Experience with SOLR, Lucene or equivalent is a plus AWS Cloud Experience is a plus Enough engineering depth to contribute meaningfully to implementation and technical design 6) Frameworks / Platforms Experience with one or more of the following is important: LangGraph LangChain GitHub Copilot SDK or similar CLI-based/server-hosted execution models Managed cloud AI platforms such as Bedrock or similar offerings Ajith Kumar VBeyond Corporation || PARTNERING FOR GROWTH Hillsborough, New Jersey, USA Email ID: AjithG@Vbeyond.com : : : APPLY NOW 🔔 Get our daily C2C jobs / Hotlist notifications on WHATSAPP TELEGRAM LINKEDIN Related