AI Architect (GenAI / Agentic AI)

Employment Type: W2 Contract Only | Location: Austin, Texas (Onsite)

About the role

We are seeking an experienced AI Architect to design and lead end-to-end implementation of enterprise-grade Generative AI and Agentic AI solutions. The ideal candidate has strong experience with LLMs, RAG pipelines, and multi-agent systems, combined with scalable backend engineering skills and a proven track record of architecting production-ready AI platforms.

Responsibilities

• Architecture & Design: Define and implement end-to-end AI/GenAI architecture covering LLM integration, RAG pipelines, and multi-agent orchestration frameworks; Design scalable, secure, and cost-efficient AI platforms and services; Evaluate and select appropriate LLMs, frameworks, and toolchains
• GenAI & LLM Solutions: Design and develop GenAI-powered applications using Python and modern frameworks; Implement prompt engineering strategies, token optimization, token economics, and response grounding/evaluation frameworks; Integrate enterprise data sources into RAG pipelines and knowledge systems
• Agentic AI / Multi-Agent Systems: