To support a growing practice, the contracted AI Solutions Architect will collaborate with engineering, product, and architecture teams to design and implement multi-agent AI platforms, manage context strategies, and establish governance standards, all while working remotely with US time zone overlap. Key responsibilities Review current AI initiatives to identify consolidation opportunities and collaborate on a unified platform strategy Design reference architecture for multi-agent orchestration and intent classification, ensuring effective context management Establish AI safety and governance standards, including prompt governance practices and platform resiliency patterns Required qualifications 10+ years of experience in software/ML architecture with 5+ years in enterprise AI Proven experience in designing and shipping multi-agent AI platforms capable of handling thousands of concurrent sessions Expertise in building real-time conversational AI systems with session memory and context management Experience architecting RAG pipelines and managing tradeoffs related to chunking, embedding drift, and retrieval quality Familiarity with multiple LLM providers and the tradeoffs in cost, latency, quality, and reliability