AI Solutions Architect

AI Solutions Architect role designing and guiding enterprise-scale AI platforms. Focus on multi-agent systems, RAG architectures, LLM integrations, and cloud-native environments. Collaborate with engineering, product, data, and architecture teams to define AI strategies and technical frameworks.

• Review existing AI initiatives and identify improvement opportunities.
• Design reference architectures for multi-agent orchestration, intent classification, routing, and context management.
• Define strategies for AI context management including token optimization, conversation memory, and summarization.
• Architect RAG solutions including ingestion pipelines, retrieval, reranking, and quality optimization.
• Establish AI governance practices for prompt management, testing, monitoring, version control, and rollback.
• Define resiliency patterns for LLM applications including provider failover, cost management, and observability.
• Establish AI safety standards for security, privacy, responsible AI, and hallucination mitigation.
• Collaborate with stakeholders to create implementation roadmaps and guide execution priorities.

• 10+ years in software engineering or ML architecture, with 5+ years in enterprise AI solutions.