AI Architect

AI Architect

• Architect and design multi-agent platforms and systems that operate reliably at production scale
• Define the technical approach for retrieval-augmented generation (RAG), vector search, and knowledge grounding across our AI products
• Set architectural standards for LLM orchestration, agent-to-agent communication, tool use, memory, and reasoning pipelines
• Evaluate and select the right vector databases, retrieval strategies, and model choices for different product needs
• Partner closely with engineering teams to translate architecture into production-grade, scalable implementations
• Drive decisions on system reliability, latency, cost, and security for AI-driven workflows used by enterprise customers
• Work directly with customers and internal stakeholders to understand requirements and ensure the architecture supports real-world business use cases
• Stay hands-on prototyping, reviewing code and designs, and solving hard technical problems alongside the team
• Keep the architecture current with the fast-evolving LLM and agentic AI landscape

• 58 years of experience in software/AI engineering, with demonstrated experience designing and architecting multi-agent platforms at production grade
• Strong hands-on expertise in Python
• Deep understanding of LLMs prompting, fine-tuning, evaluation, and production deployment considerations
• Practical experience with RAG architectures and vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS, or similar)
• Proven experience taking AI systems from design to production at scale, with a strong focus on reliability and performance
• Strong system design skills, with the ability to make sound architectural trade-offs in a fast-moving environment

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